Diagnostic aids and methods using smart hemodynamic indices

Abstract

The present invention relates to a diagnostic assistance device and method using smart hemodynamic indices. More specifically, the present invention relates to a diagnostic assistance device and method for assisting medical decisions by calculating a smart hemodynamic index that combines a smart index and a hemodynamic index and providing a diagnostic result based on a clinically standardized guideline quantitatively using the smart hemodynamic index.

Description

[Technical Field]

[0001] The present invention relates to a diagnostic support device and method using a smart hemodynamic index, and more specifically to a technology for assisting medical decisions by calculating a smart hemodynamic index that combines a smart index and a hemodynamic index, and providing a diagnostic result based on quantitatively standardized clinical guidelines using the smart hemodynamic index. [Background technology]

[0002] Fractional flow reserve (FFR) is a technique for diagnosing the progression of coronary artery stenosis by measuring the pressure inside the blood vessels that decreases due to stenosis.

[0003] The prior art methods for calculating hemodynamic indices use only a single pressure index among hemodynamic factors, so there is a gray area in the criteria, and measurement requires considerable time, cost, and specialized personnel.

[0004] That is, the hemodynamic indexes according to the prior art are costly and time-consuming to calculate, and are therefore inconvenient in determining diagnosis and prognosis prediction during medical diagnosis.

[0005] Furthermore, the conventional methods for calculating hemodynamic indices have a problem of low reliability, since they may not match the actual judgment of a clinician. Summary of the Invention [Problem to be solved by the invention]

[0006] The present invention aims to provide a diagnostic support device and method that calculates a smart hemodynamic index that combines a smart index and a hemodynamic index, and provides a diagnostic result based on quantitatively standardized clinical guidelines using the smart hemodynamic index, thereby assisting medical decisions.

[0007] The present invention aims to provide innovative diagnostic technologies, namely hemodynamic indexes and smart indexes, which are capable of quantitatively expressing analytical processes and results that require a high level of understanding of both hemodynamics and medicine in standardized figures and presenting corresponding clinical guidelines, as well as a smart hemodynamic index that integrates these two, thereby innovatively simplifying the existing medical diagnostic process and assisting in accurate diagnosis and prognosis prediction through more multifaceted considerations.

[0008] The present invention aims to provide a diagnostic support device and method that can be used in all primary, secondary, and tertiary medical environments, as it calculates mathematically formulated indicators, smart indicators, hemodynamic indicators, and smart hemodynamic indicators that integrate these, using information that can be obtained from existing medical equipment, thereby eliminating the need to purchase new medical equipment. [Means for solving the problem]

[0009] A diagnosis support device using a smart hemodynamic index according to an embodiment of the present invention may include a clinical information collection unit that collects clinical information related to a diagnosis target, a clinical factor calculation unit that calculates clinical factors based on the collected clinical information, a hemodynamic factor calculation unit that calculates hemodynamic factors based on the collected clinical information, an index calculation unit that calculates a smart index (SI) using the calculated clinical factors, calculates a hemodynamic index (HDI) using the calculated hemodynamic factors, and calculates a smart hemodynamic index (SHDI) by simultaneously considering the calculated smart index and the calculated hemodynamic index, and a diagnosis result providing unit that applies any one of the calculated smart index, the calculated hemodynamic index, and the calculated smart hemodynamic index to a diagnostic guideline and provides a diagnosis result for the diagnosis target.

[0010] The index calculation unit can calculate a hemodynamic standard factor by standardizing the hemodynamic factor, and calculate the hemodynamic index by weighting the calculated hemodynamic standard factor.

[0011] The index calculation unit can calculate clinical standard factors by standardizing the clinical factors, and calculate the smart index by weighting the calculated clinical standard factors.

[0012] The clinical factor calculation unit can calculate clinical factors from the clinical information based on disease-specific characteristics, including at least one of the following: presence or absence of diabetes, blood pressure, presence or absence of hyperlipidemia, presence or absence of smoking, red blood cell volume fraction, cholesterol level, pulse rate, ultrasound image, CT image, MRI image, presence or absence of pain, presence or absence of heart failure, blood concentration in the body, inflammation level in the blood, myocardial perfusion single-photon tomography image, presence or absence of underlying disease, presence or absence of hereditary disease, weight, and age.

[0013] The diagnostic result providing unit can provide clinical information related to the diagnostic subject to a plurality of medical specialists, and then apply a score based on any one of the indicators to a diagnostic guideline determined based on the diagnostic results, and provide a diagnostic result corresponding to the applied score in the diagnostic guideline.

[0014] The clinical information collection unit can collect medical images including at least one of angiography images, ultrasound Doppler images, and CT images based on clinical information acquisition standards, and can apply an artificial intelligence prediction model to the collected medical images to collect data on three-dimensional space and four-dimensional blood flow information as clinical information.

[0015] The hemodynamic factor calculation unit can calculate hemodynamic factors including at least one of a basic blood flow information factor, a velocity factor, a flow rate factor, a secondary flow factor, a wall stress-based factor, a pressure factor, and a morphology factor from the clinical information based on four-dimensional blood flow velocity information.

[0016] The index calculation unit can calculate a hemodynamic standard factor by assigning a score within a predefined score range according to the calculated hemodynamic factor, classify the disease into one of a plurality of diseases based on the calculated hemodynamic standard factor, and calculate a hemodynamic index by assigning a weight calculated based on the severity of the disease to the calculated hemodynamic standard factor.

[0017] The index calculation unit may classify cases into a plurality of cases in relation to the calculated hemodynamic factors, calculate a disease-specific threshold based on the average value of each of the classified cases, and assign scores within the predefined score range based on the calculated threshold to calculate a hemodynamic standard factor.

[0018] The index calculation unit can calculate a clinical standard factor by assigning a score within a predefined score range according to the calculated clinical factor, classify the disease into one of a plurality of diseases based on the calculated clinical standard factor, and calculate a smart index by assigning a weight to the calculated clinical standard factor based on the severity of the disease.

[0019] A diagnostic assistance method using a smart hemodynamic index according to one embodiment of the present invention may include the steps of: collecting clinical information related to a diagnostic object in a clinical information collecting unit; calculating clinical factors from the collected clinical information in a clinical factor calculating unit; calculating hemodynamic factors from the collected clinical information in a hemodynamic factor calculating unit; calculating a smart index (SI) using the calculated clinical factors in an index calculating unit; calculating a hemodynamic index (HDI) using the calculated hemodynamic factors; and calculating a smart hemodynamic index (SHDI) by simultaneously considering the calculated smart index and the calculated hemodynamic index; and providing a diagnostic result for the diagnostic object in a diagnostic result providing unit by applying any one of the calculated smart index, the calculated hemodynamic index, and the calculated smart hemodynamic index to a diagnostic guideline.

[0020] The steps of calculating a smart index using the calculated clinical factors, calculating a hemodynamic index using the calculated hemodynamic factors, and calculating a smart hemodynamic index by simultaneously considering the calculated smart index and the calculated hemodynamic index may include the steps of calculating a hemodynamic standard factor by standardizing the hemodynamic factors and calculating the hemodynamic index by weighting the calculated hemodynamic standard factor, and calculating a clinical standard factor by standardizing the clinical factors and calculating the smart index by weighting the calculated clinical standard factor.

[0021] The step of applying any one of the calculated smart index, the calculated hemodynamic index, and the calculated smart hemodynamic index to a diagnostic guideline to provide a diagnostic result for the diagnostic subject may include the step of providing clinical information related to the diagnostic subject to a plurality of medical specialists, and then applying a score based on any one of the indexes to a diagnostic guideline determined based on the diagnostic result, to provide a diagnostic result corresponding to the applied score in the diagnostic guideline.

[0022] The step of collecting clinical information related to the diagnostic subject may include the steps of collecting medical images including at least one of angiography images, ultrasound Doppler images, and CT images based on a clinical information acquisition standard, and applying an artificial intelligence prediction model to the collected medical images to collect data on three-dimensional space and four-dimensional blood flow information as clinical information.

[0023] The step of calculating the hemodynamic factors includes a step of calculating hemodynamic factors including at least one of a basic blood flow information factor, a velocity factor, a flow rate factor, a secondary flow factor, a wall stress-based factor, a pressure factor, and a morphology factor from the clinical information based on four-dimensional blood flow velocity information. The step of calculating a smart index using the calculated clinical factors, calculating a hemodynamic index using the calculated hemodynamic factors, and calculating a smart hemodynamic index by simultaneously considering the calculated smart index and the calculated hemodynamic index includes a step of calculating a hemodynamic standard factor by assigning a score within a predefined score range according to the calculated hemodynamic factors, classifying the patient into one of a plurality of diseases based on the calculated hemodynamic standard factor, and calculating the hemodynamic index by assigning a weight calculated based on the severity of the disease to the calculated hemodynamic standard factor.

[0024] The step of calculating clinical factors from the collected clinical information may include a step of calculating clinical factors from the clinical information based on disease-specific characteristics, including at least one of the following: presence or absence of diabetes, blood pressure, presence or absence of hyperlipidemia, presence or absence of smoking, red blood cell volume fraction, cholesterol level, pulse rate, ultrasound image, CT image, MRI image, presence or absence of pain, presence or absence of heart failure, in vivo blood concentration, blood inflammation level, myocardial perfusion single-photon computed tomography image, presence or absence of underlying disease, presence or absence of hereditary disease, weight, and age.

[0025] The steps of calculating a smart index using the calculated clinical factors, calculating a hemodynamic index using the calculated hemodynamic factors, and calculating a smart hemodynamic index by simultaneously considering the calculated smart index and the calculated hemodynamic index may include the steps of calculating a clinical standard factor by assigning a score within a predefined score range according to the calculated clinical factors, classifying the patient into one of a plurality of diseases based on the calculated clinical standard factor, and calculating a smart index by assigning a weight calculated based on the severity of the disease to the calculated clinical standard factor. [Effects of the Invention]

[0026] The present invention can provide a diagnostic support device and method that assists medical decisions by calculating a smart hemodynamic index that combines a smart index and a hemodynamic index, and providing a diagnostic result based on quantitatively standardized clinical guidelines using the smart hemodynamic index.

[0027] The present invention provides innovative diagnostic technologies, namely hemodynamic indexes and smart indexes, which are capable of quantitatively expressing analytical processes and results that require a high level of understanding of both hemodynamics and medicine in standardized numbers and presenting corresponding clinical guidelines, as well as a smart hemodynamic index that integrates these two. This innovatively simplifies the existing medical diagnostic process while also assisting in accurate diagnosis and prognosis prediction through more multifaceted considerations.

[0028] The present invention uses information obtainable from existing medical equipment to calculate mathematically formulated indicators, such as smart indicators, hemodynamic indicators, and smart hemodynamic indicators that integrate these, thereby eliminating the need to purchase new medical equipment and providing a diagnostic support device and method that can be used in primary, secondary, and tertiary medical settings. [Brief explanation of the drawings]

[0029] [Figure 1] 1 is a diagram illustrating a diagnostic support device using a smart hemodynamic index according to an embodiment of the present invention; [Figure 2] 1 is a diagram illustrating a method for calculating a smart hemodynamic index according to an embodiment of the present invention. [Figure 3] 1 illustrates a method for applying smart hemodynamic indicators to improve diagnostic processes according to one embodiment of the present invention. [Figure 4] FIG. 1 is a diagram illustrating hemodynamic factors according to one embodiment of the present invention. [Figure 5] FIG. 1 is a diagram illustrating a configuration for standardizing hemodynamic factors according to one embodiment of the present invention. [Figure 6] FIG. 1 is a diagram illustrating a standardized clinical guideline according to an embodiment of the present invention. [Figure 7A] FIG. 10 is a diagram illustrating a method for calculating weights of hemodynamic standard factors according to one embodiment of the present invention. [Figure 7B] FIG. 10 is a diagram illustrating a method for calculating weights of hemodynamic standard factors according to one embodiment of the present invention. [Figure 8] 1A and 1B are diagrams illustrating a method for providing a diagnosis of a current patient condition based on one of a smart index, a hemodynamic index, and a smart hemodynamic index according to one embodiment of the present invention. [Figure 9] 1 is a diagram illustrating a diagnostic assistance method using a smart hemodynamic index according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0030] Various embodiments of the present specification will now be described with reference to the accompanying drawings.

[0031] The examples and the terms used therein are not intended to limit the technology described herein to a particular embodiment, but should be understood to include various modifications, equivalents, and / or alternatives to the examples.

[0032] In the following description of various embodiments, if it is determined that a detailed description of related publicly known functions or configurations may obscure the gist of the invention, the detailed description will be omitted.

[0033] The terms used below are defined in consideration of the functions in various embodiments, and may vary depending on the intentions or practices of users or operators. Therefore, the definitions should be based on the overall content of this specification.

[0034] In connection with the description of the drawings, like reference numerals may be used for like components.

[0035] A singular expression can include a plural expression unless the context clearly indicates otherwise.

[0036] As used herein, phrases such as "A or B" or "at least one of A and / or B" may include all possible combinations of the items listed together.

[0037] Expressions such as "first," "second," "initial," or "second" can modify the components in question regardless of order or importance, and are used only to distinguish one component from other components, and do not limit the components in question.

[0038] When a (e.g., first) component is referred to as being "(functionally or communicatively) coupled" or "connected" to another (e.g., second) component, the component may be directly coupled to the other component or may be coupled through another component (e.g., third component).

[0039] As used herein, "configured to" may be used interchangeably with, for example, hardware or software "suitable for," "capable of," "modified to," "made to," "capable of," or "designed to," depending on the context.

[0040] In some circumstances, the phrase "a device configured to" can mean that the device is "capable of" in conjunction with other devices or components.

[0041] For example, a phrase such as "a processor configured (or set) to perform A, B, and C" may refer to a processor that is dedicated to performing those operations (e.g., an embedded processor), or to a general-purpose processor (e.g., a CPU or application processor) that can perform those operations by executing one or more software programs stored in a memory device.

[0042] Also, the term "or" means an inclusive or rather than an exclusive or.

[0043] That is, unless otherwise stated or clear from the context, the phrase "x uses a or b" means any one of the natural inclusive permutations.

[0044] In the above-described specific embodiments, elements included in the invention are expressed as singular or plural by the specific embodiments presented.

[0045] However, the expressions "singular" or "plural" are selected to suit the circumstances presented for the convenience of explanation, and the above-described embodiments are not limited to singular or plural components, and elements expressed as plural may be composed of singular, and elements expressed as singular may be composed of plural.

[0046] Meanwhile, although specific embodiments have been described in the explanation of the invention, it goes without saying that various modifications are possible as long as they do not deviate from the scope of the technical ideas contained in the various embodiments.

[0047] Therefore, the scope of the present invention should not be limited to the described embodiments, but should be determined by the following claims as well as equivalents to these claims.

[0048] FIG. 1 is a diagram illustrating a diagnostic support device using a smart hemodynamic index according to an embodiment of the present invention.

[0049] FIG. 1 illustrates components of a diagnostic aid using smart hemodynamic indicators according to one embodiment of the present invention.

[0050] Referring to FIG. 1, a diagnosis support device 100 using smart hemodynamic indices according to one embodiment of the present invention includes a clinical information collection unit 110, a clinical factor calculation unit 120, a hemodynamic factor calculation unit 130, an index calculation unit 140, and a diagnosis result providing unit 150, and a control unit 160 controls the functional operations of the above-mentioned components.

[0051] According to one embodiment of the present invention, the clinical information collection unit 110 collects clinical information related to a diagnostic subject.

[0052] The subject of diagnosis is a patient whose disease is diagnosed in relation to hemodynamics and medicine, and a representative disease may be carotid artery disease, which includes carotid artery stenosis.

[0053] According to an embodiment of the present invention, the clinical information collection unit 110 may collect medical images including at least one of angiography images, ultrasound Doppler images, and CT images based on clinical information acquisition criteria.

[0054] For example, the clinical information collecting unit 110 may collect data on three-dimensional space and four-dimensional blood flow information as clinical information by applying an artificial intelligence prediction model to the collected medical images.

[0055] The clinical information includes the patient's four-dimensional blood flow velocity information, which may refer to three components of a velocity vector for three-dimensional space and time information during one cardiac cycle obtained using methods such as 4D flow MRI (4D-flow-MRI) and computational fluid dynamics (CFD), as well as position information of the wall where blood and blood vessels meet.

[0056] The data format of clinical information is basically input as a CSV (comma-separated values) file, but in some cases, any data format that can record and read the three components (u, v, w) of a velocity vector in a coordinate system (x, y, z, t), such as txt, mat, or xlsx, is acceptable.

[0057] According to one embodiment of the present invention, the clinical factor calculation unit 120 calculates clinical factors based on disease-specific characteristics from clinical information.

[0058] For example, clinical factors may be referred to as clinical parameters and may include at least one of the following: presence or absence of diabetes, blood pressure, presence or absence of hyperlipidemia, presence or absence of smoking, red blood cell volume percentage, cholesterol level, pulse rate, ultrasound image, CT image, MRI image, presence or absence of pain, presence or absence of heart failure, blood concentration in the body, inflammation level in the blood, myocardial perfusion single-photon computed tomography image, presence or absence of underlying disease, presence or absence of hereditary disease, weight, and age.

[0059] As an example, the clinical factor calculation unit 120 can calculate clinical factors from the clinical information based on the characteristics of each disease, including at least one of the following: presence or absence of diabetes, blood pressure, presence or absence of hyperlipidemia, presence or absence of smoking, red blood cell volume fraction, cholesterol level, pulse rate, ultrasound image, CT image, MRI image, presence or absence of pain, presence or absence of heart failure, blood concentration in the body, inflammation level in the blood, myocardial perfusion single photon tomography image, presence or absence of underlying disease, presence or absence of hereditary disease, weight, and age.

[0060] According to one embodiment of the present invention, the hemodynamic factor calculation unit 130 calculates the hemodynamic factors based on four-dimensional blood flow velocity information from clinical information.

[0061] For example, hemodynamic factors can be referred to as hemodynamic parameters.

[0062] The hemodynamic factors are calculated based on dimensionless four-dimensional blood flow velocity information and can include at least one of basic blood flow information factors, velocity factors, flow rate factors, secondary flow factors, wall stress-based factors, pressure factors, and morphology factors.

[0063] As an example, the hemodynamic factor calculation unit 130 can calculate hemodynamic factors including at least one of a basic blood flow information factor, a velocity factor, a flow rate factor, a secondary flow factor, a wall stress-based factor, a pressure factor, and a morphology factor based on dimensionless four-dimensional blood flow velocity information.

[0064] According to one embodiment of the present invention, the hemodynamic factor calculation unit 130 calculates the hemodynamic factors from the blood flow velocity information, and the calculated hemodynamic factors can be summarized as shown in Table 1 below.

[0065] [Table 1]

[0066] According to one embodiment of the present invention, the hemodynamic factor calculation unit 130 can mathematically calculate the remaining parameters, excluding the basic blood flow information and morphological parameters, from the velocity vectors.

[0067] In this process, the parameter values ​​calculated for the parameters disclosed in Table 1 may be used as they are, or may be used after undergoing a non-dimensionalization process.

[0068] Figure 4 will be used to provide additional explanation on hemodynamic factors or parameters.

[0069] As an example, the index calculation unit 140 can calculate a hemodynamic standard factor by standardizing the hemodynamic factor, and calculate the hemodynamic index by weighting the calculated hemodynamic standard factor.

[0070] According to an embodiment of the present invention, the index calculation unit 140 may calculate clinical standard factors by standardizing clinical factors, and may calculate smart indexes by weighting the calculated clinical standard factors.

[0071] According to one embodiment of the present invention, the index calculation unit 140 can calculate a smart index using the calculated clinical factors, calculate a hemodynamic index using the calculated hemodynamic factors, and calculate a smart hemodynamic index by simultaneously considering the smart index and the hemodynamic index.

[0072] A smart hemodynamic index is an index that is constructed by simultaneously considering a smart index and a hemodynamic index.

[0073] Therefore, the smart hemodynamic index may have different weights for factors and formulas for distribution of scores (standard factors) from those used in existing smart indexes and hemodynamic indexes.

[0074] As an example, the index calculation unit 140 may calculate a hemodynamic standard factor by assigning a score within a predefined score range according to the hemodynamic factor, classify the disease into one of a plurality of diseases based on the calculated hemodynamic standard factor, and calculate a hemodynamic index by assigning a weight calculated by simple linear regression analysis according to the severity of the disease to the calculated hemodynamic standard factor.

[0075] According to one embodiment of the present invention, the index calculation unit 140 may classify cases into a plurality of cases in relation to the calculated hemodynamic factors, calculate a threshold value for each disease based on the average value of each classified case, and assign scores within a predefined score range based on the calculated threshold value to calculate a hemodynamic standard factor.

[0076] As an example, the index calculation unit 140 can assign a score to each hemodynamic parameter in accordance with a score range (0 to 10 points) that is predefined according to the parameter value.

[0077] Figure 5 provides additional explanation of hemodynamic factors and related hemodynamic standard factors.

[0078] The index calculation unit 140 according to one embodiment of the present invention calculates clinical standard factors by assigning scores within a predefined score range according to the calculated clinical factors, classifies the disease into one of a plurality of diseases based on the calculated clinical standard factors, and calculates a smart index by assigning weights to the calculated clinical standard factors calculated by simple linear regression analysis according to the severity of the disease.

[0079] As an example, the index calculation unit 140 may calculate the smart index using the following Equation 1, calculate the hemodynamic index using Equation 2, and calculate the smart hemodynamic index using Equation 3.

[0080]

number

[0081] In Equation 1, SI can represent a smart index, and p i can indicate the value of clinical factors, and s i can indicate clinical standard factors, and w i can indicate weights.

[0082]

number

[0083] In Equation 2, HDI can represent a hemodynamic index, and p i can indicate the value of hemodynamic factors, and h i can represent the hemodynamic standard factor, and w i can indicate weights.

[0084]

number

[0085] In Equation 3, SHDI may represent a smart hemodynamic index, f may represent an integration function, SI may represent a smart index, and HDI may represent a hemodynamic index.

[0086] Hemodynamic indices can be designed by normalizing existing hemodynamic factors such as FFR (Fractional Flow Reserve), CFR (Coronary Flow Reserve), IMR (Index of Microcirculatory Resistance), WSS (Wall Shear Stress), and OSI (Oscillatory Shear Index) to better reflect the characteristics of each cardiac and cerebrovascular region and disease, and by quantitatively formulating them through a weighted-sum model and population study.

[0087] Through a large amount of clinical research, hemodynamic indexes can provide clear clinical guidelines for diagnosis and prognosis prediction for patients based on the values ​​of hemodynamic indexes.

[0088] The Smart Index quantitatively evaluates and stratifies risk based on the correlation between CT angiography, which clinicians currently use to diagnose cardiovascular and cerebrovascular diseases, as well as other clinical information such as the presence or absence of other diseases such as diabetes and hypertension, and blood components such as red blood cell volume and cholesterol levels, based on the degree of association between each type of cardiovascular and cerebrovascular disease. Designed as a single integrated index, the Smart Index can serve as a quantitative guideline, with a high degree of consistency with existing medical decisions.

[0089] The parameters in Table 1 can be configured to give physical meaning using non-dimensionalization.

[0090] Examples of the dimensionless equations are shown in Equation 4 and Equation 5.

[0091]

number

[0092] In Equation 4, h1 can represent the hemodynamic score for the non-dimensionalized hemodynamic parameters based on the scoring formula defined for each parameter.

[0093]

number

[0094] In Equation 5, h2 can represent the hemodynamic score for the non-dimensionalized hemodynamic parameters based on the scoring formula defined for each parameter.

[0095] The Smart Hemodynamic Index is a single index that simultaneously considers both hemodynamic and smart indices.

[0096] The smart index and the method for constructing the smart hemodynamic index may be similar to the hemodynamic index.

[0097] According to one embodiment of the present invention, the diagnosis result providing unit 150 can provide a diagnosis result for a diagnosis subject by applying either the calculated hemodynamic index or the calculated smart hemodynamic index to a diagnostic guideline.

[0098] As an example, the diagnostic result providing unit can provide clinical information related to the diagnostic subject to multiple medical professionals, and then apply a score based on any one of the indicators to a diagnostic guideline determined based on the diagnostic results, and provide a diagnostic result corresponding to the applied score in the diagnostic guideline.

[0099] For example, the diagnosis results provided by the diagnosis result providing unit 150 may be utilized as auxiliary diagnostic information for diagnosing a patient's illness, disease, or the like.

[0100] Unlike the conventional myocardial fractional flow reserve index, the smart hemodynamic index of the present invention is calculated by taking into consideration a wide variety of hemodynamic and clinical factors in combination, and therefore has a relatively clear quantitative judgment criterion with no or only a small gray area, and therefore has a high probability of matching the actual judgment of a clinician.

[0101] In addition, conventional hemodynamic factor-based diagnoses have the disadvantage of requiring a high level of expertise in fluid dynamics and, when used clinically, requiring a comprehensive diagnostic / judgment process of clinical and dynamic aspects. In contrast, the smart hemodynamic index according to the present invention provides a simple and clear index, enabling quick decision-making during diagnosis.

[0102] Furthermore, since the smart hemodynamic index of the present invention is mathematically formulated using information that can be obtained from existing medical equipment and hemodynamic analysis methods, it does not require the purchase of new medical equipment and can be used in all primary, secondary, and tertiary medical settings.

[0103] In addition, as the incidence of cardiovascular and cerebrovascular diseases continues to increase due to the aging population, and the resulting burden of medical expenses is also increasing, it is predicted that the use of smart hemodynamic indicators will become very popular.

[0104] However, the effects of the present invention are not limited to the above-mentioned effects, and can be variously expanded within the scope of the present invention.

[0105] Therefore, the present invention can provide a diagnostic support device and method that assists medical decisions by calculating a smart hemodynamic index that combines a smart index and a hemodynamic index, and providing a diagnostic result based on quantitatively standardized clinical guidelines using the smart hemodynamic index.

[0106] FIG. 2 is a diagram illustrating a method for calculating a smart hemodynamic index according to one embodiment of the present invention.

[0107] FIG. 2 illustrates a procedure for calculating a smart hemodynamic index by a method for calculating a smart hemodynamic index according to an embodiment of the present invention.

[0108] Referring to FIG. 2, a method for calculating a smart hemodynamic index according to one embodiment of the present invention is illustrated, which calculates a smart index 210 and a hemodynamic index 211 using clinical factors 200 and hemodynamic factors 201, and calculates a smart hemodynamic index 220 by simultaneously taking into account the calculated indices.

[0109] A method for calculating smart hemodynamic indexes according to one embodiment of the present invention uses angiography images and ultrasound Doppler to collect clinical information obtained through computer simulation of a patient's 4D (time + 3D space) pulsatile vascular velocity field or real-time measurement techniques (4-D Flow MRI, 3D ultrasound, etc.) and artificial intelligence prediction based on these techniques.

[0110] A method for calculating a smart hemodynamic index according to one embodiment of the present invention uses clinical information and a velocity field to calculate various quantified hemodynamic factors (FFR, CFR, IMR, WSS, OSI, etc.) and clinical factors (vascular stenosis rate, presence or absence of concomitant diseases, blood flow components, etc.).

[0111] The method for calculating the smart hemodynamic index is to calculate the smart index 210 and the hemodynamic index 211 through standardization and mathematical formulation to suit the characteristics of each cardiovascular and cerebrovascular disease, and then calculate the smart hemodynamic index 220 by taking these into consideration simultaneously.

[0112] FIG. 3 is a diagram illustrating how smart hemodynamic indicators can be applied to improve diagnostic processes according to one embodiment of the present invention.

[0113] FIG. 3 illustrates the effect of applying smart hemodynamic indicators to improve the diagnostic process according to one embodiment of the present invention.

[0114] Referring to FIG. 3, steps S301 to S305 show a diagnostic procedure according to an existing process, and steps S311 to S313 show a diagnostic process improved by the present invention.

[0115] According to the existing process, an anatomical evaluation of the lesion is performed in step S301, a physiological evaluation of the lesion is performed in step S302, a treatment method is determined based on clinical information in step S303, a decision is made on whether to use drug treatment or invasive treatment in step S304, and periodic or regular follow-up management is performed in step S305.

[0116] In step 311, the diagnostic assistance method according to one embodiment of the present invention integrates and simplifies steps S301 to S303 of the existing method in the diagnosis and management process based on a smart hemo-dynamic index (SHDI).

[0117] In the diagnostic assistance method according to one embodiment of the present invention, a treatment method is determined based on the SHDI in step S311, a treatment timing is determined based on the SHDI in step S312, and follow-up management is performed based on the SHDI in step S313.

[0118] Step S301 involves extraction of vascular shape by specialists, which takes about 10 hours; step S302 involves presentation of FFR based on computer simulation, which takes about 5 hours; and steps S303 and S304 involve the process of clinical treatment after familiarizing oneself with medical data in advance, which takes a long time.

[0119] Also, step S305 may correspond to prognosis management for inefficient periodic examinations and reoperations.

[0120] Meanwhile, step S311 is an AI-based automatic vascular shape extraction that takes about 5 minutes, thereby reducing the consumption of manpower and time, and presenting an AI-based SHDI, thereby improving the fidelity and information usability.

[0121] Step S312 is XR-based real-time medical data access and treatment execution, which enhances clinical convenience and on-site response capabilities.

[0122] Step S313 is to predict the prognosis based on the SHDI and establish a customized management plan, thereby increasing the efficiency of prognosis management and preventing emergency situations in advance.

[0123] That is, the diagnostic assistance method according to an embodiment of the present invention not only improves the convenience of diagnosis and treatment targets based on the SHDI, but also assists practitioners in making quicker judgments and treatments.

[0124] FIG. 4 is a diagram illustrating hemodynamic factors according to one embodiment of the present invention.

[0125] FIG. 4 illustrates a carotid artery in relation to hemodynamic factors according to one embodiment of the present invention.

[0126] Referring to FIG. 4, a carotid artery 400 may be modeled based on velocity information obtained using data acquired with 4D MRI.

[0127] The hemodynamic parameters associated with the carotid artery 400 can be summarized in the table below.

[0128] Carotid artery 400 shows hemodynamic parameters, Internal Carotid Artery (ICA), External Carotid Artery (ECA), and Common Carotid Artery (CCA).

[0129] The hemodynamic parameters can be summarized as shown in Table 2 below, where the hemodynamic parameters are represented by k and MLT (M: mass, L: length, T: time) is shown in relation to the dimension.

[0130] Dimensions can dimensionally represent information about mass, length, and time.

[0131] [Table 2]

[0132] Hemodynamic parameters can be mathematically calculated based on velocity information in the carotid artery 400 .

[0133]

number

[0134] In Equation 6, Π is the result of non-dimensionalization and can represent a hemodynamic factor that has a physical meaning, and k can represent the value of the hemodynamic factor before non-dimensionalization, which can be summarized as shown in Table 3 below.

[0135] [Table 3]

[0136] The non-dimensionalized hemodynamic factors can have physical meaning and can be used to calculate hemodynamic indices.

[0137] In relation to the carotid artery 400, it can be divided into pre-surgery (Pre), post-surgery (Post), and normal cases (Control), which are the opposite of blocked cases.

[0138] The carotid artery 400 can provide velocity information after a shape of the carotid artery is created using a 3D printer from a patient's CT image and the pulsation of the actual patient is reproduced.

[0139] FIG. 5 is a diagram illustrating a configuration for standardizing hemodynamic factors according to one embodiment of the present invention.

[0140] FIG. 5 illustrates a standard for assigning scores to hemodynamic factors and standardizing them to calculate standard hemodynamic factors according to one embodiment of the present invention.

[0141] Referring to FIG. 5, graph 500 shows PRE, which indicates the average value of the stenotic carotid artery immediately before surgery, CTRL, which indicates the carotid artery opposite the operated carotid artery, and a threshold value 501 for classifying stenosis and a threshold value 502 for classifying excessive dilation based on the average of POST, which indicates the dilated carotid artery immediately after surgery.

[0142] If it is above the threshold 501 corresponding to 90% in relation to PRE, it can be indicated as stenosis, and if it is above the threshold 502 corresponding to 10% in relation to POST, it can be confirmed as excessive dilation.

[0143] It is assumed that the pi (Π) values ​​for each group can distinguish between stenosis and dilation according to a normal distribution.

[0144] Most PRE carotid arteries are assigned a high score, and a very small proportion of POST carotid arteries are assigned a low score.

[0145] In other words, based on the pi values ​​and graph 500 set forth in Table 3, scores can be assigned to categorize the data into stenosis, normal, and hyperdilation.

[0146] In other words, a standardized hemodynamic factor in the range of 0 to 10 can be assigned to the non-dimensionalized hemodynamic factors using a scoring formula defined for each factor.

[0147] The range of the score can be dynamically changed according to the user's setting, and can be defined as shown in the following Equation 7 in relation to the non-dimensionalized hemodynamic factors and Equation 5.

[0148]

number

[0149] In Equation 7, HP1 can represent a hemodynamic normal factor, and h1 can represent a hemodynamic factor.

[0150] According to the physical meaning scoring assigned based on Equation 7, the closer to "0" the carotid artery is classified as dangerous due to severe expansion, the closer to "5" the carotid artery is classified as normal, and the closer to "10" the carotid artery is dangerous due to severe stenosis.

[0151] FIG. 6 is a diagram illustrating a standardized clinical guideline according to an embodiment of the present invention.

[0152] FIG. 6 illustrates a standardized clinical guideline according to one embodiment of the present invention.

[0153] Referring to FIG. 6, an image 600 shows an index score 601 and a standardized clinical guideline 602 .

[0154] Based on quantitatively standardized clinical guidelines 602 using the index scores 601, diagnostic support information can be provided to determine and apply surgery, stents, or other medical decisions to patients.

[0155] The image 600 uses smart indices, hemodynamic indices, and smart hemodynamic indices to quantitatively provide criteria for medical decisions as clinical guidelines 602 .

[0156] 7A and 7B are diagrams illustrating a method for calculating weights of hemodynamic standard factors according to one embodiment of the present invention.

[0157] FIG. 7A illustrates the degree of stenosis as a criterion for calculating the weight of the hemodynamic standard factor according to one embodiment of the present invention.

[0158] Referring to FIG. 7A, a graph 700 shows the degree of stenosis, which is identified by areas where the blood vessel size remains constant and areas where the blood vessel is blocked.

[0159] The degree of stenosis can be confirmed from the point where it contracts and then expands, and the point where it rises and then falls 701. Since d2 is distributed linearly, the fact that the hemodynamic index and smart hemodynamic index are numbers does not mean anything; what is important is what meaning is assigned to the numbers. Therefore, the analysis results show the condition by looking at the numbers.

[0160] The stenosis can be expressed as follows:

[0161]

number

[0162] In Equation 8, d2 represents the change in length from the contracted point to the expanded point, and d s can indicate the peak point where the value rises and then falls.

[0163] FIG. 7B shows the results of a linear regression analysis of the weights of hemodynamic normalization factors according to one embodiment of the present invention.

[0164] Referring to FIG. 7B, graph 710 shows PRE, CTRL, and POST for ICA.

[0165] Graph 711 shows PRE, CTRL, and POST for CCA.

[0166] Graph 712 shows PRE, CTRL, and POST for ECA.

[0167] Graph 713 shows PRE, CTRL, and POST for all carotids.

[0168] Graph 714 shows PRE, CTRL, and POST for the combination of ICA and CCA.

[0169] PRE indicates the value corresponding to the average of the constricted carotid artery just before surgery, CTRL indicates the carotid artery opposite the operated carotid artery, and POST indicates the dilated carotid artery immediately after surgery.

[0170] In graphs 710 to 714, R 2 indicates an index (number) that is linearly distributed.

[0171] Weights (w) for hemodynamic standard factors according to one embodiment of the present invention i ) and the hemodynamic index and smart hemodynamic index can be calculated through a weighted-sum method.

[0172] The weights can be calculated by performing a simple linear regression analysis on the hemodynamic standard factors and the degree of stenosis for a total of 24 carotid arteries, and summarizing the coefficient of determination (R_squarei) of the hemodynamic standard factors as shown in the following Equation 9. That is, the weights can be calculated using Equation 9.

[0173]

number

[0174] In Equation 9, w i can indicate the weight, R_squre i can indicate the coefficient of determination of the weights.

[0175] In other words, the hemodynamic index can be calculated by combining a weight with a hemodynamic standard factor calculated based on the hemodynamic factor.

[0176] The smart index can be calculated in the same manner as the hemodynamic index.

[0177] FIG. 8 is a diagram illustrating a method for providing a diagnosis result of a current patient condition based on one of a smart index, a hemodynamic index, and a smart hemodynamic index according to one embodiment of the present invention.

[0178] FIG. 8 illustrates a method for providing a diagnosis of a current patient condition based on one of a smart index, a hemodynamic index, and a smart hemodynamic index according to one embodiment of the present invention.

[0179] Referring to FIG. 8, a diagnostic assistance method according to an embodiment of the present invention can provide a diagnostic result based on the values ​​of the smart index, the hemodynamic index, and the smart hemodynamic index and clinical diagnostic guidelines.

[0180] For example, the clinical diagnostic guideline 800 may include scores and guide information determined by multiple medical professionals based on clinical information related to the diagnostic subject.

[0181] For example, clinical diagnostic guidelines may be presented as shown in Table 4 below. The table below illustrates clinical diagnostic guidelines using hemodynamic indices as indicators, but they can be equally applied to smart indices and smart hemodynamic indices, and some values ​​can be changed.

[0182] [Table 4]

[0183] For example, the clinical diagnosis guideline 800 presents all of the patient's comprehensive medical information to a number of specialists, and links the results of carotid artery diagnosis based on this information with index values.

[0184] Therefore, the present invention uses information that can be obtained from existing medical equipment to calculate mathematically formulated indicators, such as smart indicators, hemodynamic indicators, and smart hemodynamic indicators that integrate these, thereby eliminating the need to purchase new medical equipment and providing a diagnostic support device and method that can be used in all primary, secondary, and tertiary medical environments.

[0185] FIG. 9 is a diagram illustrating a diagnostic assistance method using a smart hemodynamic index according to an embodiment of the present invention.

[0186] FIG. 9 illustrates a diagnostic assistance method using smart hemodynamic indicators according to one embodiment of the present invention.

[0187] Referring to FIG. 9, in step S901, the diagnostic assistance method using smart hemodynamic indexes according to an embodiment of the present invention collects clinical information.

[0188] That is, the diagnostic assistance method using smart hemodynamic indexes according to one embodiment of the present invention collects clinical information related to a diagnostic target.

[0189] For example, clinical information can be collected by collecting medical images including at least one of angiography images, ultrasound Doppler images, and CT images based on clinical information acquisition standards, and applying an artificial intelligence prediction model to the collected medical images to collect data on three-dimensional spatial and four-dimensional blood flow information as clinical information.

[0190] In step S902, the diagnostic assistance method using smart hemodynamic indexes according to an embodiment of the present invention calculates clinical factors.

[0191] That is, the diagnostic assistance method using smart hemodynamic indexes according to an embodiment of the present invention can calculate clinical factors based on disease-specific characteristics from collected clinical information.

[0192] For example, clinical factors may be referred to as clinical parameters and may include at least one of the following: presence or absence of diabetes, blood pressure, presence or absence of hyperlipidemia, presence or absence of smoking, red blood cell volume percentage, cholesterol level, pulse rate, ultrasound image, CT image, MRI image, presence or absence of pain, presence or absence of heart failure, blood concentration in the body, inflammation level in the blood, myocardial perfusion single-photon computed tomography image, presence or absence of underlying disease, presence or absence of hereditary disease, weight, and age.

[0193] In step S903, the diagnostic assistance method using smart hemodynamic indexes according to an embodiment of the present invention calculates hemodynamic factors.

[0194] That is, the diagnostic assistance method using smart hemodynamic indexes according to an embodiment of the present invention can calculate hemodynamic factors based on four-dimensional blood flow velocity information.

[0195] For example, hemodynamic factors can be referred to as hemodynamic parameters.

[0196] Hemodynamic factors are calculated from clinical information based on dimensionless four-dimensional blood flow velocity information, and can include at least one of basic blood flow information factors, velocity factors, flow rate factors, secondary flow factors, wall stress-based factors, pressure factors, and morphology factors.

[0197] In step S904, the diagnostic assistance method using smart hemodynamic index according to an embodiment of the present invention calculates a smart index, a hemodynamic index, and a smart hemodynamic index.

[0198] That is, the diagnostic assistance method using a smart hemodynamic index according to one embodiment of the present invention calculates a smart index using clinical factors, calculates a hemodynamic index using hemodynamic factors, and calculates a smart hemodynamic index by simultaneously considering the smart index and the hemodynamic index.

[0199] In step S905, the diagnostic assistance method using smart hemodynamic indexes according to an embodiment of the present invention applies the smart hemodynamic indexes to diagnostic guidelines to provide diagnostic results.

[0200] That is, the diagnostic assistance method using smart hemodynamic indexes according to one embodiment of the present invention can provide a diagnostic result for a diagnostic subject by applying either one of hemodynamic indexes and smart hemodynamic indexes to a diagnostic guideline.

[0201] In addition, the diagnostic assistance method using smart hemodynamic indexes according to one embodiment of the present invention provides clinical information related to the diagnostic target to a plurality of medical specialists, and then applies a score based on any one of the indexes to a diagnostic guideline determined based on the diagnostic results, thereby providing a diagnostic result corresponding to the score applied in the diagnostic guideline.

[0202] Therefore, the present invention provides hemodynamic indexes and smart indexes, which are innovative diagnostic technologies that can quantitatively express the analytical process and results, which require a high level of understanding of both hemodynamics and medicine, in standardized numbers and provide corresponding clinical guidelines, as well as a smart hemodynamic index that integrates these, thereby innovatively simplifying the existing medical diagnostic process and assisting in accurate diagnosis and prognosis prediction through more multifaceted consideration.

[0203] The devices described above may be implemented using hardware components, software components, and / or a combination of hardware and software components. For example, the devices and components described in the embodiments may be implemented using one or more general-purpose or special-purpose computers, such as a processor, controller, arithmetic logic unit (ALU), digital signal processor, microcomputer, field programmable array (FPA), programmable logic unit (PLU), microprocessor, or any other device capable of executing and responding to instructions. The processing device may execute an operating system (OS) and one or more software applications running on the operating system. The processing device may also access, store, manipulate, process, and generate data in response to the execution of software. For ease of understanding, a processing device may be described as being a single device, but those skilled in the art will recognize that a processing device may include multiple processing elements and / or multiple types of processing elements. For example, a processing device may include multiple processors or one processor and one controller. Other processing configurations are also possible, such as parallel processors.

[0204] Software may include a computer program, code, instructions, or a combination of one or more of these, which may configure a processing device to operate as desired or instruct the processing device, either individually or collectively. The software and / or data may be permanently or temporarily embodied in some type of machine, component, physical device, virtual device, computer storage medium or device, or transmitted signal wave, to be interpreted by the processing device or to provide instructions or data to the processing device. The software may be distributed across computer systems connected by a network, stored or executed in a distributed manner. The software and data may be stored on one or more computer-readable recording media.

[0205] Although the embodiments have been described above with reference to limited drawings, those skilled in the art will appreciate that various modifications and variations may be made from the foregoing description. For example, the techniques described may be performed in a different order than described, and / or the components of the described systems, structures, devices, circuits, etc. may be combined or combined in a different manner than described, or may be substituted or replaced by other components or equivalents, and still achieve suitable results.

[0206] Accordingly, other implementations, other embodiments, and equivalents of the claims are within the scope of the following claims.

Claims

1. a clinical information collection unit that collects clinical information related to a diagnostic subject; a clinical factor calculation unit that calculates clinical factors based on the collected clinical information; a hemodynamic factor calculation unit that calculates hemodynamic factors based on the collected clinical information; an index calculation unit that calculates a smart index (SI) using the calculated clinical factors, calculates a hemodynamic index (HDI) using the calculated hemodynamic factors, and calculates a smart hemodynamic index (SHDI) by simultaneously considering the calculated smart index and the calculated hemodynamic index; and a diagnostic result providing unit that applies any one of the calculated smart index, the calculated hemodynamic index, and the calculated smart hemodynamic index to a diagnostic guideline and provides a diagnostic result for the diagnostic object.

2. 2. The diagnostic support device using smart hemodynamic indices according to claim 1, wherein the index calculation unit calculates hemodynamic standard factors by standardizing the hemodynamic factors, and calculates the hemodynamic indices by weighting the calculated hemodynamic standard factors.

3. 2. The diagnostic support device using smart hemodynamic indices according to claim 1, wherein the index calculation unit calculates clinical standard factors by standardizing the clinical factors, and calculates the smart indices by weighting the calculated clinical standard factors.

4. 2. The diagnostic aid device using smart hemodynamic indexes according to claim 1, wherein the clinical factor calculation unit calculates clinical factors including at least one of the following based on disease-specific characteristics from the clinical information: presence or absence of diabetes, blood pressure, presence or absence of hyperlipidemia, presence or absence of smoking, red blood cell volume fraction, cholesterol level, pulse rate, ultrasound image, CT image, MRI image, presence or absence of pain, presence or absence of heart failure, in vivo blood concentration, blood inflammation level, myocardial perfusion single-photon computed tomography image, presence or absence of underlying disease, presence or absence of hereditary factors, weight, and age.

5. 2. The diagnostic support device using smart hemodynamic indexes according to claim 1, wherein the diagnostic result providing unit provides clinical information related to the diagnostic target to a plurality of medical specialists, and then applies a score based on any one of the indices to a diagnostic guideline determined based on the diagnostic results, and provides a diagnostic result corresponding to the applied score in the diagnostic guideline.

6. 2. The diagnostic assistance device using smart hemodynamic indexes according to claim 1, wherein the clinical information collection unit collects medical images including at least one of angiography images, ultrasound Doppler images, and CT images based on a clinical information acquisition standard, and applies an artificial intelligence prediction model to the collected medical images to collect data on three-dimensional space and four-dimensional blood flow information as clinical information.

7. 2. The diagnostic assistance device using smart hemodynamic indices according to claim 1, wherein the hemodynamic factor calculation unit calculates hemodynamic factors including at least one of a basic blood flow information factor, a velocity factor, a flow rate factor, a secondary flow factor, a wall stress-based factor, a pressure factor, and a morphology factor from the clinical information based on four-dimensional blood flow velocity information.

8. 10. The diagnostic support device using smart hemodynamic indexes according to claim 7, wherein the index calculation unit calculates a hemodynamic standard factor by assigning a score within a predefined score range according to the calculated hemodynamic factor, classifies the disease into one of a plurality of diseases based on the calculated hemodynamic standard factor, and calculates a hemodynamic index by assigning a weight calculated based on the severity of the disease to the calculated hemodynamic standard factor.

9. 9. The diagnostic assistance device using smart hemodynamic indexes according to claim 8, wherein the index calculation unit classifies cases into a plurality of cases in relation to the calculated hemodynamic factors, calculates a threshold value for each disease based on an average value of each of the classified cases, and calculates a hemodynamic standard factor by assigning a score within the predefined score range based on the calculated threshold value.

10. 2. The diagnostic support device using smart hemodynamic indices according to claim 1, wherein the index calculation unit calculates clinical standard factors by assigning scores within a predefined score range according to the calculated clinical factors, classifies the patient into one of a plurality of diseases based on the calculated clinical standard factors, and calculates smart indices by assigning weights to the calculated clinical standard factors based on the severity of the disease.

11. collecting clinical information related to the subject to be diagnosed in a clinical information collection unit; calculating clinical factors from the collected clinical information in a clinical factor calculation unit; calculating hemodynamic factors from the collected clinical information in a hemodynamic factor calculation unit; In an index calculation unit, a smart index (SI) is calculated using the calculated clinical factors, a hemodynamic index (HDI) is calculated using the calculated hemodynamic factors, and a smart hemodynamic index (SHDI) is calculated by simultaneously considering the calculated smart index and the calculated hemodynamic index; and applying, in a diagnostic result providing unit, any one of the calculated smart index, the calculated hemodynamic index, and the calculated smart hemodynamic index to a diagnostic guideline to provide a diagnostic result for the diagnostic subject.

12. calculating a smart index using the calculated clinical factors, calculating a hemodynamic index using the calculated hemodynamic factors, and calculating a smart hemodynamic index by simultaneously considering the calculated smart index and the calculated hemodynamic index, calculating a hemodynamic standard factor by standardizing the hemodynamic factor, and calculating the hemodynamic index by weighting the calculated hemodynamic standard factor; 12. The diagnostic assistance method using a smart hemodynamic index according to claim 11, further comprising the steps of: calculating clinical standard factors by standardizing the clinical factors; and calculating the smart index by weighting the calculated clinical standard factors.

13. applying any one of the calculated smart index, the calculated hemodynamic index, and the calculated smart hemodynamic index to a diagnostic guideline to provide a diagnostic result for the diagnostic subject, 12. The diagnostic assistance method according to claim 11, further comprising the steps of: providing clinical information related to the diagnostic target to a plurality of medical specialists; applying a score based on any one of the indices to a diagnostic guideline determined based on the diagnostic results; and providing a diagnostic result corresponding to the applied score in the diagnostic guideline.

14. The step of collecting clinical information related to the diagnostic subject includes:

12. The diagnostic assistance method using smart hemodynamic indexes according to claim 11, further comprising the steps of: collecting medical images including at least one of angiography images, ultrasound Doppler images, and CT images based on a clinical information acquisition standard; and applying an artificial intelligence prediction model to the collected medical images to collect data on three-dimensional spatial and four-dimensional blood flow information as clinical information.

15. The step of calculating the hemodynamic factor comprises: calculating hemodynamic factors from the clinical information based on four-dimensional blood flow velocity information, including at least one of a basic blood flow information factor, a velocity factor, a flow rate factor, a secondary flow factor, a wall stress-based factor, a pressure factor, and a morphology factor; calculating a smart index using the calculated clinical factors, calculating a hemodynamic index using the calculated hemodynamic factors, and calculating a smart hemodynamic index by simultaneously considering the calculated smart index and the calculated hemodynamic index, 12. The diagnostic assistance method using smart hemodynamic indexes according to claim 11, further comprising: calculating a hemodynamic standard factor by assigning a score within a predefined score range according to the calculated hemodynamic factor; classifying the patient into one of a plurality of diseases based on the calculated hemodynamic standard factor; and calculating a hemodynamic index by assigning a weight calculated based on the severity of the disease to the calculated hemodynamic standard factor.

16. The step of calculating clinical factors from the collected clinical information includes: and calculating, from the clinical information based on characteristics of each disease, clinical factors including at least one of the following: presence or absence of diabetes, blood pressure, presence or absence of hyperlipidemia, presence or absence of smoking, red blood cell volume fraction, cholesterol value, pulse rate, ultrasound image, CT image, MRI image, presence or absence of pain, presence or absence of heart failure, in vivo blood concentration, blood inflammation value, myocardial perfusion single photon computed tomography image, presence or absence of underlying disease, presence or absence of hereditary disease, weight, and age; calculating a smart index using the calculated clinical factors, calculating a hemodynamic index using the calculated hemodynamic factors, and calculating a smart hemodynamic index by simultaneously considering the calculated smart index and the calculated hemodynamic index, 12. The diagnostic assistance method using smart hemodynamic indexes according to claim 11, further comprising the steps of: calculating clinical standard factors by assigning scores within a predefined score range according to the calculated clinical factors; classifying the patient into one of a plurality of diseases based on the calculated clinical standard factors; and calculating a smart index by assigning a weight calculated based on the severity of the disease to the calculated clinical standard factors.

Images