Diagnostic support device using an intelligent hemodynamic index and procedures for this

Abstract

The present invention relates to a diagnostic aid and method using intelligent hemodynamic indices, and in particular to a diagnostic aid and method for supporting medical decision-making by calculating intelligent hemodynamic indices, wherein it is a combination of intelligent indices with hemodynamic indices, and providing diagnostic results according to quantitatively standardized clinical guidelines using the intelligent hemodynamic indices.

Description

Diagnostic aid device and method using smart hemodynamic indicators

[0001] The present invention relates to a diagnostic assistance device and method using a smart hemodynamic index, and more specifically, to a technology for calculating a smart hemodynamic index by synthesizing a smart index and a hemodynamic index, and providing a diagnostic result according to a quantitatively standardized clinical guideline using the smart hemodynamic index to assist in medical decision making.

[0002] Fractional flow reserve (FFR) is a technique for diagnosing the degree of stenosis progression by measuring the intravascular pressure decreased due to coronary artery stenosis.

[0003] The conventional method of calculating hemodynamic indices uses only a single pressure index among hemodynamic factors, leaving a gray area in the criteria, and requires considerable time, cost, and specialized personnel for measurement.

[0004] In other words, hemodynamic indices according to conventional technology are expensive and time-consuming to produce, and thus are wasteful in making judgments about diagnosis and prognosis prediction in the medical diagnosis process.

[0005] In addition, the method of calculating hemodynamic indices according to conventional technology has a problem of low reliability as there are cases where it is inconsistent with the judgment of actual clinicians.

[0006] The present invention aims to provide a diagnostic assistance device and method that calculates a smart hemodynamic index that synthesizes a smart index and a hemodynamic index, and provides a diagnostic result according to a quantitatively standardized clinical guideline using the smart hemodynamic index to assist in medical decision making.

[0007] The present invention provides innovative diagnostic technologies, including hemodynamic indices and smart indices, which are capable of quantitatively standardizing numerical expressions of analysis processes and results requiring a high level of understanding of both hemodynamics and medicine, and suggesting clinical guidelines that match them, and a smart hemodynamic indices that integrate these, thereby innovatively simplifying the existing medical diagnostic process and, at the same time, assisting in accurate diagnosis and prognosis prediction through more multi-faceted consideration.

[0008] The present invention aims to provide a diagnostic assistance device and method that can be used in all primary, secondary, and tertiary medical environments, without requiring the purchase of new medical devices, by calculating smart indices, hemodynamic indices, and smart hemodynamic indices that integrate these using information that can be obtained from existing medical devices.

[0009] According to one embodiment of the present invention, a diagnostic assistance device using a smart hemodynamic index may include a clinical information collection unit that collects clinical information related to a diagnosis subject, a clinical factor calculation unit that calculates a clinical factor based on the collected clinical information, a hemodynamic factor calculation unit that calculates a hemodynamic factor based on the collected clinical information, an index calculation unit that calculates a smart index (SI) using the calculated clinical factor, calculates a hemodynamic index (HDI) using the calculated hemodynamic factor, 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 diagnosis subject.

[0010] The above index producing unit can produce a hemodynamic standard factor that standardizes the hemodynamic factor, and produce the hemodynamic index by applying a weight to the produced hemodynamic standard factor.

[0011] The above indicator calculation unit can calculate a clinical standard factor that standardizes the above clinical factor, and calculate the smart indicator by assigning a weight to the calculated clinical standard factor.

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

[0013] The above diagnostic result providing unit may provide clinical information related to the diagnostic subject to multiple medical professionals, and then apply a score based on one of the above indicators to a diagnostic guideline determined based on the diagnosed result, and provide a diagnostic result corresponding to the applied score in the diagnostic guideline.

[0014] The above clinical information collection unit collects medical images including at least one of angiographic images, ultrasound Doppler images, and CT images according to clinical information acquisition criteria, 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.

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

[0016] The above 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 a disease into one of a plurality of diseases according to the calculated hemodynamic standard factor, and calculate a hemodynamic index by assigning a weight calculated according to the degree of the disease to the calculated hemodynamic standard factor.

[0017] The above index calculation unit can calculate a hemodynamic standard factor by dividing the calculated hemodynamic factor into a plurality of cases, calculating a threshold value for each disease based on the average value of each of the divided cases, and assigning a score within the predefined score range based on the calculated threshold value.

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

[0019] A diagnostic assistance method using a smart hemodynamic index according to one embodiment of the present invention may include a step of collecting clinical information related to a diagnosis subject in a clinical information collection unit, a step of calculating a clinical factor from the collected clinical information in a clinical factor calculation unit, a step of calculating a hemodynamic factor from the collected clinical information in a hemodynamic factor calculation unit, a step of calculating a smart index (SI) using the calculated clinical factor in an index calculation unit, a step of calculating a hemodynamic index (HDI) using the calculated hemodynamic factor, a step of calculating a smart hemodynamic index (SHDI) by simultaneously considering the calculated smart index and the calculated hemodynamic index, and a step of providing a diagnostic result for the diagnosis subject 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 step of calculating a smart index using the above-described clinical factors, calculating a hemodynamic index using the above-described hemodynamic factors, and calculating a smart hemodynamic index by simultaneously considering the above-described smart index and the above-described hemodynamic index may include the step of calculating a hemodynamic standard factor by standardizing the above-described hemodynamic factors, calculating the hemodynamic index by assigning a weight to the calculated hemodynamic standard factor, and the step of calculating a clinical standard factor by standardizing the above-described clinical factors, and calculating the smart index by assigning a weight to the calculated clinical standard factor.

[0021] The step of providing a diagnosis result for the diagnosis subject by applying any one of the above-mentioned smart indicator, the above-mentioned calculated hemodynamic indicator, and the above-mentioned calculated smart hemodynamic indicator to a diagnosis guideline may include a step of providing clinical information related to the diagnosis subject to a plurality of medical professionals, and then applying a score based on any one of the indicators to a diagnosis guideline determined based on the diagnosed result, and providing a diagnosis result corresponding to the applied score in the diagnosis guideline.

[0022] The step of collecting clinical information related to the above diagnostic subject may include a step of collecting medical images including at least one of angiographic images, ultrasound Doppler images, and CT images according to clinical information acquisition criteria, 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 factor includes a step of calculating a hemodynamic factor including at least one of a basic blood flow information factor, a velocity factor, a flow factor, a secondary flow factor, a wall stress-based factor, a pressure factor, and a morphological factor based on four-dimensional blood flow velocity information in the clinical information, and calculating a smart index using the calculated clinical factor, calculating a hemodynamic index using the calculated hemodynamic factor, and calculating a smart hemodynamic index by integrating the calculated smart index and the hemodynamic index, calculating a hemodynamic standard factor by assigning a score in a predefined score range according to the calculated hemodynamic factor, classifying a disease as one of a plurality of diseases according to the calculated hemodynamic standard factor, and calculating a hemodynamic index by assigning a weight calculated according to the degree of the disease to the calculated hemodynamic standard factor.

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

[0025] The step of calculating a smart index using the above-described clinical factors, calculating a hemodynamic index using the above-described hemodynamic factors, and calculating a smart hemodynamic index by simultaneously considering the above-described smart index and the above-described hemodynamic index may include the steps of calculating a clinical standard index by assigning a score in a predefined score range according to the above-described clinical factors, classifying a disease as one of a plurality of diseases according to the above-described clinical standard factors, and calculating a smart index by assigning a weight calculated according to the disease to the above-described clinical standard factors.

[0026] The present invention can provide a diagnostic assistance device and method that calculates a smart hemodynamic index that synthesizes a smart index and a hemodynamic index, and provides a diagnostic result according to a quantitatively standardized clinical guideline using the smart hemodynamic index to assist in medical decision making.

[0027] The present invention provides innovative diagnostic technologies, including hemodynamic indices and smart indices, which are capable of quantitatively standardizing numerical expressions of analysis processes and results requiring a high level of understanding of both hemodynamics and medicine, and suggesting clinical guidelines that match them, and a smart hemodynamic indices that integrate these, thereby innovatively simplifying the existing medical diagnostic process and, at the same time, assisting in accurate diagnosis and prognosis prediction through more multi-faceted consideration.

[0028] The present invention uses information obtainable from existing medical devices to produce smart indices, hemodynamic indices, and smart hemodynamic indices that integrate these, so that it does not require the purchase of new medical devices, and thus can provide a diagnostic assistance device and method that can be used in all primary, secondary, and tertiary medical environments.

[0029] FIG. 1 is a drawing for explaining a diagnostic assistance device using a smart hemodynamic index according to one embodiment of the present invention.

[0030] FIG. 2 is a drawing illustrating a method for calculating a smart hemodynamic index according to one embodiment of the present invention.

[0031] FIG. 3 is a diagram illustrating a method for improving a diagnostic process by applying a smart hemodynamic index according to one embodiment of the present invention.

[0032] FIG. 4 is a drawing illustrating hemodynamic factors according to one embodiment of the present invention.

[0033] FIG. 5 is a drawing illustrating a configuration for standardizing hemodynamic factors according to one embodiment of the present invention.

[0034] Figure 6 is a drawing illustrating a standardized clinical guideline according to one embodiment of the present invention.

[0035] FIG. 7a and FIG. 7b are diagrams illustrating a method for calculating weights of hemodynamic standard factors according to one embodiment of the present invention.

[0036] FIG. 8 is a diagram illustrating a method for providing a current patient status diagnosis result according to any one of a smart indicator, a hemodynamic indicator, and a smart hemodynamic indicator according to one embodiment of the present invention.

[0037] FIG. 9 is a diagram for explaining a diagnostic assistance method using a smart hemodynamic index according to one embodiment of the present invention.

[0038] Below, various embodiments of this document are described with reference to the attached drawings.

[0039] The examples and terms used herein are not intended to limit the technology described in this document to a particular embodiment, but should be understood to encompass various modifications, equivalents, and / or alternatives of the embodiments.

[0040] In the following description of various embodiments, if it is determined that a detailed description of a related known function or configuration may unnecessarily obscure the gist of the invention, the detailed description will be omitted.

[0041] The terms described below are defined based on their functions in various embodiments, and may vary depending on the intent or custom of the user or operator. Therefore, their definitions should be based on the contents of this specification.

[0042] In connection with the description of the drawings, similar reference numerals may be used for similar components.

[0043] A singular expression may include a plural expression unless the context clearly indicates otherwise.

[0044] In this document, expressions such as "A or B" or "at least one of A and / or B" may include all possible combinations of the items listed together.

[0045] Expressions such as "first," "second," "first," or "second," may modify the components without regard to order or importance, and are used only to distinguish one component from another, but do not limit the components.

[0046] When it is said that a component (e.g., a first component) is “(functionally or communicatively) connected” or “connected” to another component (e.g., a second component), that component may be directly connected to the other component, or may be connected through another component (e.g., a third component).

[0047] In this specification, “configured to” may be used interchangeably with “suitable for,” “capable of,” “modified to,” “made to,” “capable of,” or “designed to,” depending on the context, for example, in terms of hardware or software.

[0048] In some contexts, the expression "a device configured to" may mean that the device is "capable of" doing something in conjunction with other devices or components.

[0049] For example, the phrase "a processor configured (or set) to perform A, B, and C" may mean a dedicated processor (e.g., an embedded processor) for performing those operations, or 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.

[0050] Also, the term 'or' means 'inclusive or' rather than 'exclusive or'.

[0051] That is, unless otherwise stated or clear from context, the expression 'x utilizes a or b' means any one of the natural inclusive permutations.

[0052] In the specific embodiments described above, the components included in the invention are expressed singularly or plurally depending on the specific embodiment presented.

[0053] However, the singular or plural expressions are selected to suit the situation presented for convenience of explanation, and the above-described embodiments are not limited to singular or plural components, and even components expressed in plural may be composed of singular elements, or even components expressed in singular elements may be composed of plural elements.

[0054] Meanwhile, although the description of the invention has described specific embodiments, it is clear that various modifications are possible within the scope that does not depart from the scope of the technical ideas contained in the various embodiments.

[0055] Therefore, the scope of the present invention should not be limited to the described embodiments, but should be defined not only by the claims described below but also by equivalents of the claims.

[0056]

[0057] FIG. 1 is a drawing for explaining a diagnostic assistance device using a smart hemodynamic index according to one embodiment of the present invention.

[0058] FIG. 1 illustrates components of a diagnostic assistance device using a smart hemodynamic index according to one embodiment of the present invention.

[0059] Referring to FIG. 1, a diagnostic assistance device (100) using a smart hemodynamic index 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 diagnostic result provision unit (150), and a control unit (160) controls the functional operation of the above-described configuration.

[0060] According to one embodiment of the present invention, the clinical information collection unit (110) collects clinical information related to the diagnosis subject.

[0061] The subjects of the diagnosis are patients diagnosed with diseases related to hemodynamics and medicine. Representative diseases include carotid artery disease, and carotid artery disease includes carotid artery stenosis.

[0062] According to one embodiment of the present invention, the clinical information collection unit (110) can collect medical images including at least one of angiographic images, ultrasound Doppler images, and CT images according to clinical information acquisition criteria.

[0063] For example, the clinical information collection unit (110) can collect data on three-dimensional space and four-dimensional blood flow information as clinical information by applying an artificial intelligence prediction model to collected medical images.

[0064] Clinical information includes the patient's four-dimensional blood flow velocity information, and the blood flow velocity information 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 and computational fluid dynamics (CFD), and information on the location of the wall where blood and blood vessels come into contact.

[0065] The data format of clinical information is basically entered 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 the velocity vector according to the coordinate system (x, y, z, t), such as txt, mat, xlsx, etc., is not specifically distinguished.

[0066] According to one embodiment of the present invention, the clinical factor calculation unit (120) calculates clinical factors based on disease-specific characteristics in clinical information.

[0067] For example, clinical factors may be referred to as clinical parameters and may include at least one of diabetes, blood pressure, hyperlipidemia, smoking, hematocrit, cholesterol level, pulse rate, ultrasound image, CT image, MRI image, pain, heart failure, blood concentration in the body, blood inflammation level, myocardial perfusion single-photon computed tomography image, underlying disease, genetics, body weight, and age.

[0068] For example, the clinical factor calculation unit (120) can calculate clinical factors including at least one of diabetes, blood pressure, hyperlipidemia, smoking, hematocrit, cholesterol level, pulse rate, ultrasound image, CT image, MRI image, pain, heart failure, blood concentration in the body, blood inflammation level, myocardial perfusion single-photon tomography image, underlying disease, heredity, weight, and age based on disease-specific characteristics in clinical information.

[0069] According to one embodiment of the present invention, the hemodynamic factor calculation unit (130) calculates hemodynamic factors based on four-dimensional blood flow velocity information from clinical information.

[0070] For example, hemodynamic factors may be referred to as hemodynamic parameters.

[0071] The hemodynamic factors are calculated based on dimensionless four-dimensional blood flow velocity information and may include at least one of basic blood flow information factors, velocity factors, flow factors, secondary flow factors, wall stress-based factors, pressure factors, and morphological factors.

[0072] For example, the hemodynamic factor generating unit (130) can generate hemodynamic factors including at least one of a basic blood flow information factor, a velocity factor, a flow factor, a secondary flow factor, a wall stress-based factor, a pressure factor, and a morphological factor based on dimensionless four-dimensional blood flow velocity information.

[0073] According to one embodiment of the present invention, the hemodynamic factor calculation unit (130) calculates hemodynamic factors from blood flow velocity information, and the calculated hemodynamic factors can be organized as shown in Table 1 below.

[0074]

[0075] [Table 1]

[0076]

[0077] According to one embodiment of the present invention, the hemodynamic factor calculation unit (130) can mathematically calculate the remaining parameters except for the basic blood flow information and morphological parameters from the velocity vector.

[0078] In this process, the parameter values ​​can be used as they are calculated for the parameters disclosed in Table 1 or after going through a dimensionless process.

[0079] Supplementary explanations are provided regarding hemodynamic factors or parameters using Figure 4.

[0080] For example, the index generating unit (140) can generate a hemodynamic standard factor that standardizes a hemodynamic factor and generate a hemodynamic index by assigning a weight to the generated hemodynamic standard factor.

[0081] According to one embodiment of the present invention, the indicator calculation unit (140) can calculate a clinical standard factor by standardizing a clinical factor, and calculate a smart indicator by assigning a weight to the calculated clinical standard factor.

[0082] According to one embodiment of the present invention, the index calculation unit (140) calculates a smart index using the calculated clinical factors, calculates a hemodynamic index using the calculated hemodynamic factors, and calculates a smart hemodynamic index by simultaneously considering the smart index and the hemodynamic index.

[0083] Smart hemodynamic indicators are indicators that are constructed by simultaneously considering smart indicators and hemodynamic indicators.

[0084] Therefore, the smart hemodynamic index may have different formulas for the weights of factors used in existing smart indices and hemodynamic indices, or for the score distribution (standard factors).

[0085] For example, the index calculation unit (140) can calculate a hemodynamic standard factor by assigning a score within a predefined score range according to a hemodynamic factor, classify a disease into one of a plurality of diseases according to the calculated hemodynamic standard factor, and calculate a hemodynamic index by assigning a weight calculated according to a simple linear regression analysis according to the degree of the disease to the calculated hemodynamic standard factor.

[0086] According to one embodiment of the present invention, the index calculation unit (140) can calculate a hemodynamic standard factor by dividing the calculated hemodynamic factor into a plurality of cases, calculating a threshold value for each disease based on the average value of each of the divided cases, and assigning a score within a predefined score range based on the calculated threshold value.

[0087] For example, the index calculation unit (140) can assign a score to each hemodynamic parameter according to a predefined score range (0 to 10 points) based on the parameter value.

[0088] The hemodynamic standard factors related to hemodynamic factors using Figure 5 are supplementary explained.

[0089] The index calculation unit (140) according to one embodiment of the present invention calculates a clinical standard factor by assigning a score within a predefined score range according to the calculated clinical factor, classifies a disease into one of a plurality of diseases according to the calculated clinical standard factor, and calculates a smart index by assigning a weight calculated according to a simple linear regression analysis according to the degree of the disease to the calculated clinical standard factor.

[0090] For example, the index generating unit (140) can generate a smart index using the following mathematical expression 1, a hemodynamic index using the following mathematical expression 2, and a smart hemodynamic index using the following mathematical expression 3.

[0091]

[0092] [Mathematical Formula 1]

[0093]

[0094]

[0095]

[0096] In mathematical expression 1, SI can represent the Smart Index, and p i can represent the value of clinical factors, s i can represent clinical standard factors, w i can represent weights.

[0097]

[0098] [Equation 2]

[0099]

[0100]

[0101] In mathematical formula 2, HDI can represent the hemodynamic index, and p i can represent the values ​​of hemodynamic factors, h i can represent a hemodynamic standard factor, w i can represent weights.

[0102]

[0103] [Equation 3]

[0104]

[0105]

[0106] In mathematical expression 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.

[0107] Hemodynamic indices can be designed by standardizing existing hemodynamic factors such as Fractional Flow Reserve (FFR), Coronary Flow Reserve (CFR), Index of Microcirculatory Resistance (IMR), Wall Shear Stress (WSS), and Oscillatory Shear Index (OSI) to better reflect the characteristics of each cardiovascular region and disease, and quantitatively formulating them through a weighted-sum model and population study.

[0108] Hemodynamic indices can provide clear clinical guidelines for the diagnosis and prognosis of patients based on hemodynamic indices values ​​through large-scale clinical studies.

[0109] The Smart Index is designed to be a single, integrated index that quantitatively evaluates clinical information such as CT angiography, other diseases such as diabetes or hypertension, and blood components such as hematocrit or cholesterol levels, which are currently used by clinicians for cardiovascular diagnosis, according to their correlation with cardiovascular diseases, and performs risk stratification. It is designed to have a high degree of consistency with existing medical decisions, and can serve as a quantitative guideline.

[0110] The parameters in Table 1 can be configured to give physical meaning using non-dimensionalization.

[0111] The dimensionless mathematical formula can be illustrated as in Equation 4 and Equation 5.

[0112]

[0113] [Equation 4]

[0114]

[0115]

[0116] In Equation 4, h1 can represent a hemodynamic score based on a scoring equation defined for each parameter for nondimensionalized hemodynamic parameters.

[0117]

[0118] [Equation 5]

[0119]

[0120]

[0121] In Equation 5, h2 can represent a hemodynamic score based on a scoring equation defined for each parameter for nondimensionalized hemodynamic parameters.

[0122] Smart Hemodynamic Index is a single index that simultaneously considers hemodynamic and smart indices.

[0123] The method of constructing smart indicators and smart hemodynamic indicators may be similar to that of hemodynamic indicators.

[0124] According to one embodiment of the present invention, the diagnostic result providing unit (150) can provide a diagnostic result for a diagnostic target by applying one of the calculated hemodynamic indicators and the calculated smart hemodynamic indicators to a diagnostic guideline.

[0125] For example, the diagnosis result provision unit may provide clinical information related to the diagnosis subject to multiple medical professionals, and then apply a score based on one of the indicators to a diagnosis guideline determined based on the diagnosis result, and provide a diagnosis result corresponding to the applied score in the diagnosis guideline.

[0126] For example, the diagnostic results provided by the diagnostic results provider (150) can be used as diagnostic auxiliary information for diagnosing a patient's disease, illness, etc.

[0127] Unlike conventional fractional myocardial flow reserve (FFR), the smart hemodynamic index of the present invention is calculated by comprehensively considering a multitude of hemodynamic and clinical factors. Therefore, the quantitative judgment criteria are relatively clear, with little or no gray area. Therefore, the smart hemodynamic index is highly likely to be consistent with actual clinical judgment.

[0128] In addition, diagnosis based on hemodynamic factors of the prior art requires a high level of expertise in fluid dynamics, and when used clinically, it has the disadvantage of having to go through a comprehensive diagnosis / judgment process for both clinical and dynamics, whereas the smart hemodynamic index according to the present invention provides a simple and clear index, enabling quick decision-making in diagnosis.

[0129] In addition, since the smart hemodynamic indicator of the present invention is formulated using information that can be obtained from existing medical devices and hemodynamic analysis methods, it does not require the purchase of new medical devices and can be used in all primary, secondary, and tertiary medical environments.

[0130] Additionally, as the incidence of cardiovascular disease continues to increase due to aging, and the resulting medical expenses burden also increases, the utility of smart hemodynamic indicators is expected to be very high.

[0131] However, the effects of the present invention are not limited to the above-described effects, and may be expanded in various ways without departing from the spirit and scope of the present invention.

[0132] Accordingly, the present invention can provide a diagnostic assistance device and method that calculates a smart hemodynamic index that synthesizes a smart index and a hemodynamic index, and provides a diagnostic result according to a quantitatively standardized clinical guideline using the smart hemodynamic index to assist in medical decision making.

[0133]

[0134] FIG. 2 is a drawing illustrating a method for calculating a smart hemodynamic index according to one embodiment of the present invention.

[0135] FIG. 2 illustrates a procedure for calculating a smart hemodynamic index in a method for calculating a smart hemodynamic index according to one embodiment of the present invention.

[0136] Referring to FIG. 2, a method for calculating a smart hemodynamic index according to an 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 considering the calculated indices.

[0137] A method for calculating a smart hemodynamic index according to one embodiment of the present invention collects clinical information obtained through computer simulation or real-time measurement technology (4-D Flow MRI, 3D ultrasound, etc.) of a patient's 4D (time + 3D space) pulsatile vascular velocity field using angiographic images and ultrasound Doppler, and artificial intelligence prediction that learns these.

[0138] A method for calculating a smart hemodynamic index according to one embodiment of the present invention calculates various quantified hemodynamic factors (FFR, CFR, IMR, WSS, OSI, etc.) and clinical factors (vascular stenosis rate, presence of concomitant diseases, blood flow components, etc.) using clinical information and a velocity field.

[0139] The method for calculating a smart hemodynamic index is to calculate a smart index (210) and a hemodynamic index (211) through standardization and formulating to suit the characteristics of each cardiovascular disease, and to calculate a smart hemodynamic index (220) by simultaneously considering these.

[0140]

[0141] FIG. 3 is a diagram illustrating a method for improving a diagnostic process by applying a smart hemodynamic index according to one embodiment of the present invention.

[0142] FIG. 3 illustrates the effect of improving the diagnostic process by applying a smart hemodynamic index according to one embodiment of the present invention.

[0143] Referring to FIG. 3, steps (S301) to (S305) represent a diagnostic procedure according to a conventional process, and steps (S311) to (S313) represent an improved diagnostic procedure according to the present invention.

[0144] 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 decision based on clinical information is made in step (S303), a decision on drug treatment and invasive treatment is made in step (S304), and periodic or regular follow-up management is performed in step (S305).

[0145] A diagnostic assistance method according to one embodiment of the present invention integrates and simplifies steps (S301) to (S303) according to existing methods during the diagnosis and management process based on a smart hemo-dynamic index (SHDI) in step (311).

[0146] A diagnostic assistance method according to one embodiment of the present invention determines an SHDI-based treatment method in step (S311), determines an SHDI-based treatment timing in step (S312), and performs SHDI-based tracking management in step (S313).

[0147] Step (S301) takes approximately 10 hours for expert-based vascular shape extraction, step (S302) takes approximately 5 hours for computer simulation-based FFR presentation, and steps (S303) and (S304) take a long time for clinical treatment after prior familiarization with medical data.

[0148] Additionally, step (S305) may correspond to prognostic management for inefficient periodic examinations and reoperations.

[0149] Meanwhile, step (S311) reduces manpower and time consumption as it takes about 5 minutes for AI-based automatic vascular shape extraction, and improves accuracy (fidelity) and information usability as AI-based SHDI presentation.

[0150] Step (S312) enhances clinical convenience and on-site response capabilities through XR-based real-time medical data access and treatment performance.

[0151] Step (S313) is to increase the efficiency of prognostic management and prevent emergency situations in advance by establishing a SHDI-based prognostic prediction and customized management plan.

[0152] That is, the diagnostic assistance method according to one embodiment of the present invention improves the convenience of diagnosis and treatment subjects based on SHDI, while also assisting practitioners in making faster judgments and providing treatment.

[0153]

[0154] FIG. 4 is a drawing illustrating hemodynamic factors according to one embodiment of the present invention.

[0155] FIG. 4 illustrates the carotid artery in relation to hemodynamic factors according to one embodiment of the present invention.

[0156] Referring to FIG. 4, the carotid artery (400) may be model data analyzed based on velocity information obtained using data obtained by 4D MRI.

[0157] Hemodynamic parameters related to the carotid artery (400) can be summarized as shown in the table below.

[0158] The carotid artery (400) represents hemodynamic parameters and the internal carotid artery (ICA), external carotid artery (ECA), and common carotid artery (CCA).

[0159] Hemodynamic parameters can be organized as shown in Table 2 below. Hemodynamic parameters are represented by k, and in relation to dimension, it represents MLT (M: mass , L: length, T: time).

[0160] Dimensions can represent information about mass, length, and time dimensionally.

[0161]

[0162] [Table 2]

[0163]

[0164]

[0165] Hemodynamic parameters can be mathematically calculated based on velocity information in the carotid artery (400).

[0166]

[0167] [Equation 6]

[0168]

[0169]

[0170] In mathematical expression 6, Π can represent a hemodynamic factor that has a physical meaning as a result of non-dimensionalization, and k can represent a value of the hemodynamic factor before non-dimensionalization, and can be organized as shown in Table 3 below.

[0171]

[0172] [Table 3]

[0173]

[0174] Nondimensionalized hemodynamic parameters can represent physical meanings and can be used to derive hemodynamic indices.

[0175] Regarding the carotid artery (400), it can be divided into preoperative (Pre), postoperative (Post), and normal case (Control), which is the opposite side of the blocked case.

[0176] The carotid artery (400) can be created by using a 3D printer from a patient's CT image to create a carotid artery shape, reproduce the actual pulse of the patient, and then provide velocity information.

[0177]

[0178] FIG. 5 is a drawing illustrating a configuration for standardizing hemodynamic factors according to one embodiment of the present invention.

[0179] Figure 5 illustrates a criterion for standardizing and calculating a hemodynamic standard factor by assigning a score to a hemodynamic factor according to one embodiment of the present invention.

[0180] Referring to FIG. 5, the graph (500) represents a threshold value (501) for distinguishing stenosis and a threshold value (502) for distinguishing hyperdilatation based on the average of PRE, which represents the average value of the stenotic carotid artery immediately before surgery, CTRL, which represents the carotid artery opposite the operated carotid artery, and POST, which represents the dilated carotid artery immediately after surgery.

[0181] In relation to PRE, if it is greater than the threshold value (501) corresponding to 90%, it can be indicated as stenosis, and in relation to POST, if it is greater than the threshold value (502) corresponding to 10%, it can be identified as overextension.

[0182] We assume that the pi (Π) value for each group follows a normal distribution and can distinguish between narrowing and expansion.

[0183] Most PRE carotids are given high scores, and very few POST carotids are given low scores.

[0184] In other words, based on the pie values ​​and graph (500) described in Table 3, scores can be assigned to classify the data into stenosis, normal, and hyperdilation.

[0185] In other words, for the nondimensionalized hemodynamic factors, a hemodynamic standard factor ranging from 0 to 10 can be assigned using a scoring formula defined for each factor.

[0186] The score range can be flexibly changed according to the user's settings, and can be defined as in Equation 7 below in relation to the dimensionless hemodynamic factors and Equation 5.

[0187]

[0188] [Equation 7]

[0189]

[0190]

[0191] In mathematical expression 7, HP1 may represent a hemodynamic standard factor, and h1 may represent a hemodynamic factor.

[0192] According to the scoring of the physical meaning given based on mathematical formula 7, the closer it is to "0", the more it is classified as a dangerous carotid artery due to severe expansion, the closer it is to "5", the more it is classified as a normal carotid artery, and the closer it is to "10", the more it may be a dangerous carotid artery due to severe stenosis.

[0193]

[0194] Figure 6 is a drawing illustrating a standardized clinical guideline according to one embodiment of the present invention.

[0195] Figure 6 illustrates a standardized clinical guideline according to one embodiment of the present invention.

[0196] Referring to FIG. 6, the image (600) represents the score (601) of the indicator and the standardized clinical guideline (602).

[0197] The score (601) of the indicator can be used to provide diagnostic assistance information to patients to determine whether to use surgery, stents, or other medical decisions according to quantitatively standardized clinical guidelines (602).

[0198] Image (600) provides a clinical guideline (602) as a basis for quantitative medical decision-making using smart indicators and hemodynamic indicators and smart hemodynamic indicators.

[0199]

[0200] FIG. 7a and FIG. 7b are diagrams illustrating a method for calculating weights of hemodynamic standard factors according to one embodiment of the present invention.

[0201] Figure 7a illustrates the degree of stenosis as a criterion for calculating the weight of a hemodynamic standard factor according to one embodiment of the present invention.

[0202] Referring to Fig. 7a, the graph (700) shows the degree of stenosis, and stenosis is identified by the portion where the size of the blood vessel is maintained and the portion where it is blocked.

[0203] It is a point where it decreases and increases, and the degree of stenosis can be confirmed by the point where it goes up and down (701), and since d2 is distributed linearly, the hemodynamic indicators and smart hemodynamic indicators are numbers and have no meaning, so it is important to give meaning to the numbers. The numbers show the analysis results to show what the status is.

[0204] Stenosis can be expressed as in the following mathematical equation (8).

[0205]

[0206] [Equation 8]

[0207]

[0208]

[0209] In mathematical expression 8, d2 represents the change in length at the point where it decreases and then increases, and d s can represent a peak point that goes up and then down.

[0210] Figure 7b shows the results of linear regression analysis of the weights of hemodynamic standard factors according to one embodiment of the present invention.

[0211] Referring to Fig. 7b, the graph (710) represents PRE, CTRL, and POST for ICA.

[0212] Graph (711) shows PRE, CTRL, and POST for CCA.

[0213] Graph (712) shows PRE, CTRL, and POST for ECA.

[0214] Graph (713) shows PRE, CTRL, and POST for all carotid arteries.

[0215] Graph (714) shows PRE, CTRL, and POST for the combination of ICA and CCA.

[0216] PRE represents the average value of the stenotic carotid artery immediately before surgery, CTRL represents the carotid artery on the opposite side of the operated carotid artery, and POST can represent the dilated carotid artery immediately after surgery.

[0217] R in graph (710) or graph (714) 2 represents an indicator (numerical value) that is linearly distributed.

[0218] Weight (w) for hemodynamic standard factors according to one embodiment of the present invention i ) can be given, and hemodynamic indices and smart hemodynamic indices can be derived through the weighted-sum method.

[0219] The weights can be organized as in Equation 9 below for the coefficient of determination (R_squarei) of the hemodynamic standard factor by performing a simple linear regression analysis on the hemodynamic standard factor and stenosis for a total of 24 carotid arteries. That is, the weights can be calculated using Equation 9.

[0220]

[0221] [Equation 9]

[0222]

[0223]

[0224] In mathematical expression 9, w i can represent the weight, and R_squre i can represent the coefficient of determination of the weight.

[0225] In other words, a hemodynamic index can be derived by combining weights with hemodynamic standard factors derived based on hemodynamic factors.

[0226] Smart indices can also be calculated in the same way as hemodynamic indices.

[0227]

[0228] FIG. 8 is a diagram illustrating a method for providing a current patient status diagnosis result according to any one of a smart indicator, a hemodynamic indicator, and a smart hemodynamic indicator according to one embodiment of the present invention.

[0229] FIG. 8 illustrates a method for providing a current patient status diagnosis result according to any one of a smart indicator, a hemodynamic indicator, and a smart hemodynamic indicator according to one embodiment of the present invention.

[0230] Referring to FIG. 8, a diagnostic assistance method according to an embodiment of the present invention can provide a diagnostic result according to the values ​​of a smart indicator, a hemodynamic indicator, and a smart hemodynamic indicator and clinical diagnostic guidelines.

[0231] For example, the clinical diagnosis guideline (800) may include scores and guide information determined by multiple medical professionals based on clinical information related to the diagnosis subject.

[0232] For example, clinical diagnosis guidelines may be presented as in Table 4 below, and the table below exemplifies clinical diagnosis guidelines based on hemodynamic indicators, but the same can be applied to smart indicators and smart hemodynamic indicators, and some values ​​may be changed.

[0233]

[0234] [Table 4]

[0235]

[0236] For example, the clinical diagnosis guideline (800) presents comprehensive medical information of a patient to multiple specialists, and links the results of the diagnosis of the carotid artery to the index value.

[0237] Accordingly, the present invention can provide a diagnostic assistance device and method that can be used in all primary, secondary, and tertiary medical environments, as it does not require the purchase of new medical devices because it uses information obtainable from existing medical devices to produce smart indices, hemodynamic indices, and smart hemodynamic indices that integrate these.

[0238]

[0239] FIG. 9 is a diagram for explaining a diagnostic assistance method using a smart hemodynamic index according to one embodiment of the present invention.

[0240] FIG. 9 illustrates a diagnostic assistance method using a smart hemodynamic index according to one embodiment of the present invention.

[0241] Referring to FIG. 9, in step (S901), a diagnostic assistance method using a smart hemodynamic index according to one embodiment of the present invention collects clinical information.

[0242] That is, the diagnostic assistance method using a smart hemodynamic index according to one embodiment of the present invention collects clinical information related to the diagnosis subject.

[0243] For example, clinical information may be collected as clinical information by collecting medical images including at least one of angiographic images, ultrasound Doppler images, and CT images according to clinical information acquisition criteria, 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.

[0244] In step (S902), a diagnostic assistance method using a smart hemodynamic index according to one embodiment of the present invention calculates clinical factors.

[0245] That is, the diagnostic assistance method using a smart hemodynamic index according to one embodiment of the present invention can derive clinical factors based on disease-specific characteristics from collected clinical information.

[0246] For example, clinical factors may be referred to as clinical parameters and may include at least one of diabetes, blood pressure, hyperlipidemia, smoking, hematocrit, cholesterol level, pulse rate, ultrasound image, CT image, MRI image, pain, heart failure, blood concentration in the body, blood inflammation level, myocardial perfusion single-photon computed tomography image, underlying disease, genetics, body weight, and age.

[0247] In step (S903), a diagnostic assistance method using a smart hemodynamic index according to one embodiment of the present invention calculates hemodynamic factors.

[0248] That is, the diagnostic assistance method using a smart hemodynamic index according to one embodiment of the present invention can calculate hemodynamic factors based on four-dimensional blood flow velocity information.

[0249] For example, hemodynamic factors may be referred to as hemodynamic parameters.

[0250] Hemodynamic factors are derived based on dimensionless four-dimensional blood flow velocity information from clinical information, and may include at least one of basic blood flow information factors, velocity factors, flow factors, secondary flow factors, wall stress-based factors, pressure factors, and morphological factors.

[0251] In step (S904), a diagnostic assistance method using a smart hemodynamic index according to one embodiment of the present invention calculates a smart index, a hemodynamic index, and a smart hemodynamic index.

[0252] That is, a diagnostic assistance method using a smart hemodynamic index according to one embodiment of the present invention can calculate a smart index using clinical factors, calculate a hemodynamic index using hemodynamic factors, and calculate a smart hemodynamic index by simultaneously considering the smart index and the hemodynamic index.

[0253] In step (S905), a diagnostic assistance method using a smart hemodynamic indicator according to one embodiment of the present invention provides a diagnostic result by applying the smart hemodynamic indicator to a diagnostic guideline.

[0254] That is, a diagnostic assistance method using a smart hemodynamic index according to one embodiment of the present invention can provide a diagnostic result for a diagnostic subject by applying either the hemodynamic index or the smart hemodynamic index to a diagnostic guideline.

[0255] In addition, a diagnostic assistance method using a smart hemodynamic index according to one embodiment of the present invention can provide a diagnostic result corresponding to a score applied in the diagnostic guideline by applying a score based on one index to a diagnostic guideline determined based on the diagnosed result after providing clinical information related to the diagnostic subject to a plurality of medical professionals.

[0256] Therefore, the present invention provides innovative diagnostic technologies, including hemodynamic indices and smart indices, which are capable of quantitatively standardizing the analysis process and results requiring a high level of understanding of both hemodynamics and medicine and suggesting clinical guidelines matching them, and a smart hemodynamic indices that integrate these, thereby innovatively simplifying the existing medical diagnostic process and at the same time assisting in accurate diagnosis and prognosis prediction through more multi-faceted consideration.

[0257]

[0258] The devices described above may be implemented as hardware components, software components, and / or a combination of hardware components and software components. For example, the devices and components described in the embodiments may be implemented using one or more general-purpose computers or special-purpose computers, such as, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable array (FPA), a programmable logic unit (PLU), a microprocessor, or any other device capable of executing instructions and responding to them. 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 the software. For ease of understanding, the processing device is sometimes described as being used alone; however, one of ordinary skill in the art will recognize that the processing device may include multiple processing elements and / or multiple types of processing elements. For example, a processing unit may include multiple processors, or a processor and a controller. Other processing configurations, such as parallel processors, are also possible.

[0259] Software may include a computer program, code, instructions, or a combination of one or more of these, which may configure a processing device to perform a desired operation or may, independently or collectively, command the processing device. The software and / or data may be permanently or temporarily embodied in any type of machine, component, physical device, virtual equipment, computer storage medium or device, or transmitted signal wave, for interpretation by the processing device or for providing instructions or data to the processing device. The software may also be distributed over networked computer systems and stored or executed in a distributed manner. The software and data may be stored on one or more computer-readable recording media.

[0260] Although the embodiments described above have been described with limited drawings, those skilled in the art will recognize that various modifications and variations can be made based on the above description. For example, appropriate results can still be achieved even if the described techniques are performed in a different order than described, and / or components of the described systems, structures, devices, circuits, etc. are combined or combined in a different manner than described, or are replaced or substituted with other components or equivalents.

[0261] Therefore, other implementations, other embodiments, and equivalents to the claims also fall within the scope of the claims described below.

Claims

1. Clinical information collection department that collects clinical information related to the subject of diagnosis; A clinical factor calculation unit that calculates clinical factors based on the clinical information collected above; A hemodynamic factor calculation unit that calculates hemodynamic factors based on the clinical information collected above; An index calculation unit that calculates a smart index (SI) using the above-described clinical factors, calculates a hemodynamic index (HDI) using the above-described hemodynamic factors, and calculates a smart hemodynamic index (SHDI) by simultaneously considering the above-described smart index and the above-described hemodynamic index; and It is characterized by including a diagnosis result providing unit that provides a diagnosis result for the diagnosis target by applying any one of the above-mentioned smart indicator, the above-mentioned calculated hemodynamic indicator, and the above-mentioned calculated smart hemodynamic indicator to a diagnosis guideline. Diagnostic aid using smart hemodynamic indicators.

2. In paragraph 1, The above index calculation unit is characterized in that it calculates a hemodynamic standard factor that standardizes the hemodynamic factor, and calculates the hemodynamic index by applying a weight to the calculated hemodynamic standard factor. Diagnostic aid using smart hemodynamic indicators.

3. In paragraph 1, The above indicator calculation unit is characterized in that it calculates a clinical standard factor by standardizing the clinical factor, and calculates the smart indicator by giving a weight to the calculated clinical standard factor. Diagnostic aid using smart hemodynamic indicators.

4. In paragraph 1, The above clinical factor calculation unit is characterized in that it calculates a clinical factor including at least one or more of the following: presence of diabetes, blood pressure, hyperlipidemia, smoking, hematocrit, cholesterol level, pulse rate, ultrasound image, CT image, MRI image, pain, heart failure, blood concentration in the body, blood inflammation level, myocardial perfusion single photon tomography image, underlying disease, heredity, weight, and age based on the characteristics of each disease in the clinical information. Diagnostic aid using smart hemodynamic indicators.

5. In paragraph 1, The above diagnosis result providing unit is characterized in that it provides clinical information related to the diagnosis subject to multiple medical professionals, and then applies a score based on one of the indicators to a diagnosis guideline determined based on the diagnosed result, and provides a diagnosis result corresponding to the applied score in the diagnosis guideline. Diagnostic aid using smart hemodynamic indicators.

6. In paragraph 1, The above clinical information collection unit collects medical images including at least one of angiographic images, ultrasound Doppler images, and CT images according to clinical information acquisition criteria, 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. Diagnostic aid using smart hemodynamic indicators.

7. In paragraph 1, The above hemodynamic factor calculation unit is characterized in that it calculates hemodynamic factors including at least one of basic blood flow information factors, velocity factors, flow factors, secondary flow factors, wall stress-based factors, pressure factors, and morphological factors based on four-dimensional blood flow velocity information in the clinical information. Diagnostic aid using smart hemodynamic indicators.

8. In paragraph 7, The above index calculation unit calculates a hemodynamic standard factor by assigning a score in a predefined score range according to the calculated hemodynamic factor, classifies the disease into one of a plurality of diseases according to the calculated hemodynamic standard factor, and calculates a hemodynamic index by assigning a weight calculated according to the degree of the disease to the calculated hemodynamic standard factor. Diagnostic aid using smart hemodynamic indicators.

9. In paragraph 8, The above index calculation unit is characterized in that it divides the calculated hemodynamic factors into multiple cases, calculates a threshold value for each disease based on the average value of each of the divided cases, and calculates a hemodynamic standard factor by assigning a score within the predefined score range based on the calculated threshold value. Diagnostic aid using smart hemodynamic indicators.

10. In paragraph 1, The above indicator calculation unit calculates a clinical standard factor by assigning a score in a predefined score range according to the calculated clinical factor, classifies the disease into one of a plurality of diseases according to the calculated clinical standard factor, and calculates a smart index by assigning a weight calculated according to the degree of the disease to the calculated clinical standard factor. Diagnostic aid using smart hemodynamic indicators.

11. In the clinical information collection department, a step of collecting clinical information related to the diagnosis subject; In the clinical factor calculation unit, a step of calculating clinical factors from the collected clinical information; In the hemodynamic factor calculation unit, a step of calculating hemodynamic factors from the collected clinical information; In the index generating unit, a step of generating a smart index (SI) using the generated clinical factors, generating a hemodynamic index (HDI) using the generated hemodynamic factors, and generating a smart hemodynamic index (SHDI) that is configured by considering the generated smart index and the generated hemodynamic index; and In the diagnosis result providing unit, it is characterized by including a step of providing a diagnosis result for the diagnosis subject by applying any one of the above-mentioned smart indicator, the above-mentioned calculated hemodynamic indicator and the above-mentioned calculated smart hemodynamic indicator to the diagnosis guideline. Diagnostic assistance method using smart hemodynamic indicators.

12. In paragraph 11, The step of calculating a smart index using the above-described clinical factors, calculating a hemodynamic index using the above-described hemodynamic factors, and calculating a smart hemodynamic index by simultaneously considering the above-described smart index and the above-described hemodynamic index is as follows. A step of calculating a hemodynamic standard factor by standardizing the above hemodynamic factor, and calculating the hemodynamic index by applying a weight to the calculated hemodynamic standard factor; and It is characterized by including a step of calculating a clinical standard factor by standardizing the above clinical factor, and calculating the smart index by giving a weight to the calculated clinical standard factor. Diagnostic assistance method using smart hemodynamic indicators.

13. In paragraph 11, The step of providing a diagnostic result for the diagnostic subject by applying any one of the above-mentioned smart indicators, the above-mentioned calculated hemodynamic indicators and the above-mentioned calculated smart hemodynamic indicators to the diagnostic guideline is as follows: A method characterized by comprising the step of providing a diagnosis result corresponding to the applied score in the diagnostic guideline by applying a score based on any one of the indicators to a diagnostic guideline determined based on the diagnosed result after providing clinical information related to the diagnosis subject to multiple medical professionals. Diagnostic assistance method using smart hemodynamic indicators.

14. In paragraph 11, The step of collecting clinical information related to the above diagnostic subject is: A method for obtaining clinical information, comprising the steps of collecting medical images including at least one of angiographic images, ultrasound Doppler images, and CT images according to clinical information acquisition criteria, 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. Diagnostic assistance method using smart hemodynamic indicators.

15. In paragraph 11, The step of calculating the above hemodynamic factors is: A step of calculating a hemodynamic factor including at least one of a basic blood flow information factor, a velocity factor, a flow factor, a secondary flow factor, a wall stress-based factor, a pressure factor, and a morphological factor based on four-dimensional blood flow velocity information in the above clinical information, The step of calculating a smart index using the above-described clinical factors, calculating a hemodynamic index using the above-described hemodynamic factors, and calculating a smart hemodynamic index by simultaneously considering the above-described smart index and the above-described hemodynamic index is as follows. A method for calculating a hemodynamic standard factor by assigning a score in a predefined score range according to the above-described hemodynamic factor, classifying a disease into one of a plurality of diseases according to the above-described hemodynamic standard factor, and calculating a hemodynamic index by assigning a weight calculated according to the degree of the disease to the above-described hemodynamic standard factor. Diagnostic assistance method using smart hemodynamic indicators.

16. In paragraph 11, The step of calculating clinical factors based on the clinical information collected above is: Including a step of calculating a clinical factor including at least one of diabetes, blood pressure, hyperlipidemia, smoking, hematocrit, cholesterol level, pulse rate, ultrasound image, CT image, MRI image, pain, heart failure, blood concentration in the body, blood inflammation level, myocardial perfusion single photon tomography image, underlying disease, heredity, body weight, and age based on the characteristics of each disease in the above clinical information, The step of calculating a smart index using the above-described clinical factors, calculating a hemodynamic index using the above-described hemodynamic factors, and calculating a smart hemodynamic index by simultaneously considering the above-described smart index and the above-described hemodynamic index is as follows. A method characterized by comprising the steps of: assigning a score in a predefined score range according to the above-described clinical factors to produce a clinical standard factor; classifying a disease into one of a plurality of diseases according to the above-described clinical standard factor; and assigning a weight calculated according to the degree of the disease to the above-described clinical standard factor to produce a smart index. Diagnostic assistance method using smart hemodynamic indicators.

Images