152 results about "Imaging diagnostic" patented technology

The invention discloses an image diagnosis report generation method and device and a storage medium. The method comprises the following steps: determining the matching degree on three different levels, namely, the spatial matching degree between a diagnosis text and a candidate template on an anatomical part level, the semantic matching degree between the diagnosis text and the candidate template and related to pathological information, and the clinical association degree between the diagnosis text and the candidate template; according to the method, the target template matched with the diagnosis text is searched based on the diagnosis text input by the user, and the search is further optimized through the time decay factor, the clinical priority and the conflict degree among the regions of interest, so that the accuracy of searching the required image diagnosis template for the user is improved, and the user experience is improved. Therefore, the technical problems that in the prior art, a traditional keyword matching algorithm is poor in keyword matching effect in a medical scene, and the accuracy of searching out a correct template is reduced are solved.

A method of operation of a compute system includes: generating a body mask based on the patient image; generating an overlaid synthetic ailment image for a targeted skin ailment and based on a patient image; generating a refined synthetic image based on the overlaid synthetic ailment image; generating a fused image based on the refined synthetic image by smoothing a visual imperfection and guided by the body mask; and communicating the fused image for displaying on a device.

The invention discloses an intelligent medical image diagnosis system and method based on hierarchical cross-modal conversion and dynamic feature tracking. The system adopts three-step cross-modal conversion: a first-layer small model for converting user questions to realize medical ontology matching; the second-layer multi-modal model extracts image features, and outputs text states such as JSON data with focus coordinates, density and other features; and the third-layer large model fuses the medical history and the image features to generate diagnosis suggestions, and credibility verification is carried out. A dynamic focus tracking engine is introduced, a focus evolution rule of multiple scanning is analyzed through a convolutional network, and an optical flow field is adopted to compensate artifacts. The system also integrates a multi-expert voting mechanism to simulate a clinical consultation process, and outputs consensus diagnosis and objection viewpoints. A hierarchical routing algorithm is designed for emergency treatment scenes, so that the recognition response time of emergencies such as pneumothorax is shortened. Further, the system automatically generates a full chain of evidence report that conforms to medical regulations, including a model version, a guide reference, and a data hash value.

The invention discloses a multi-modal medical image diagnosis method and system based on an AI agent. The method comprises the steps that multi-modal medical image data input by a user and a natural language diagnosis request are received; the method comprises the following steps of: performing semantic analysis on a diagnosis request of a user by utilizing a large language model (LLM), and disassembling the diagnosis request into a plurality of sub-tasks with task category labels; mapping each sub-task to a corresponding AI agent in a preset AI agent resource pool according to the task category label, and generating a corresponding sub-task result; aggregating the plurality of subtask results, and performing quality verification to generate a final diagnosis result; and feeding back the final diagnosis result to the user, receiving feedback information of the user, and if an indication result fed back by the user does not conform to the expectation, repeating the steps according to the feedback information until the user feedback is satisfied. According to the invention, the defects of single interaction, low intelligent level and insufficient processing efficiency of the existing medical image system are overcome, and efficient, accurate and reliable intelligent auxiliary diagnosis is realized.

This disclosure relates to polyethylene glycol (PEG)-functionalized nanoparticles comprising a functional agent, and preparation methods, properties and applications thereof. The nanoparticle represented by PEG-L-G / P, comprising a type of hydrophilic PEG, a hydrophobic functional agent G, which are covalently linked by L: a linker or a chemical bond, and a type of hydrophobic polymer P. The G and P form the hydrophobic core, while the PEG constitutes the hydrophilic outer layer of the nanoparticle in an aqueous medium. The functional agent comprises one or more functional compounds including a therapeutic drug, an imaging diagnostic agent, a photoelectric responsive diagnostic agent, an immune-stimulating agent, or a combination thereof. The nanoparticles comprising such functional agent can offer various applications in multiple biomedical fields.

The invention belongs to the technical field of radiopharmaceuticals, and particularly relates to a GPC3 targeted polypeptide probe and application thereof. According to the polypeptide probe targeting GPC3, non-natural functional groups are introduced to modify polypeptide ligands so as to enhance affinity, radiolabeling is carried out, and the polypeptide probe is used for PET molecular imaging diagnosis. The polypeptide probe shows good tumor targeting in vivo, the uptake of tumor tissues is remarkably different from that of normal liver tissues, the background of the normal liver tissues is clear, and a powerful tool and a theoretical basis are provided for noninvasive precise diagnosis of GPC3 positive liver cancer.

This disclosure relates to polyethylene glycol (PEG) -functionalized nanoparticles comprising a functional agent, and preparation methods, properties and applications thereof. The nanoparticle represented by PEG-L-G / P, comprising a type of hydrophilic PEG, a hydrophobic functional agent G, which are covalently linked by L: a linker or a chemical bond, and a type of hydrophobic polymer P. The G and P form the hydrophobic core, while the PEG constitutes the hydrophilic outer layer of the nanoparticle in an aqueous medium. The functional agent comprises one or more functional compounds including a therapeutic drug, an imaging diagnostic agent, a photoelectric responsive diagnostic agent, an immune-stimulating agent, or a combination thereof. The nanoparticles comprising such functional agent can offer various applications in multiple biomedical fields.

This invention provides a detachable, interchangeable imaging diagnostic device that allows for the use of various sizes of scopes, enabling easy image diagnosis of various affected areas. [Solution] The interchangeable imaging diagnostic device comprises a scope module including a fluoroscopy tube 110, a scope body 120 surrounding the rear of the fluoroscopy tube, an LED 130 providing light into the fluoroscopy tube, a heat sink 140, and an LED connection jack 150 protruding from the rear surface; a main body including a focus lens 210 for observing the condition of the affected area through the fluoroscopy tube, an adjustment lever 220 for magnifying or reducing the condition of the affected area as seen by the focus lens, a camera 230 for saving images of the body cavity, and an imaging trigger 240 for capturing images of the captured images. The main body has an LED power jack into which the LED connection jack is inserted and a coupling groove into which the rear end of the fluoroscopy tube is inserted, and is characterized by a structure that allows for the selection of scope modules with different fluoroscopy tube sizes and their detachable connection to the main body.

An imaging diagnostic apparatus connected to a printer includes an image reading unit configured to read a printed product formed by the printer to generate a read image, a detection unit configured to detect whether an image defect exists by comparing the read image with a reference image, and a notification unit configured to notify a user of information, wherein, when the image defect is due to a time-dependent change in the service life of a predetermined component, the notification unit issues a notification of a prediction result of a failure timing of the predetermined component.

To provide an image diagnostic technology using a machine learning model.SOLUTION: The present invention is related to a machine learning model trained using training data including: first ultrasonic image data based on a reception signal received by an ultrasonic probe; first correct answer data, which is first region information associated with a detection object of the first ultrasonic image data; and second correct answer data, which is first position information associated with the detection object of the first ultrasonic image data or second region information based on the first position information.SELECTED DRAWING: Figure 2

This invention provides a cascaded imaging diagnostic and therapeutic integrated system, relating to the field of imaging. The system includes: a gantry, a slit collimator, a detector ring, and a base. The gantry is a hollow, regular prism. The slit collimator is mounted on the inner side wall of the gantry; the detector ring is mounted on the outer side wall of the gantry; the side wall of the gantry is mounted on the base. When a living organism to be detected is transferred into the cavity of the gantry, the detector ring images the target position within the organism through the slit collimator. The living organism carries a drug containing a nuclide that supports the emission of cascaded photons. The detector ring is connected to a host computer. This invention can collimate and detect "cascaded gamma photon pairs," thereby directly locating the nuclide decay position, achieving real-time imaging, short imaging time, and avoiding the defects of traditional nuclear medicine image reconstruction.

The invention discloses an acute kidney injury nuclear magnetic resonance detection contrast agent as well as a preparation method and application thereof. The lipidosome comprises a first lipid component and a second lipid component, the first lipid component is any one of 1, 2-dipalmitoyl-sn-glycerol-3-phosphorylcholine, 1, 2-dioleoyl-sn-glycerol-3-phosphorylcholine and distearoyl phosphatidylcholine, and the second lipid component is a sterol derivative, and the first lipid component is any one of 1, 2-dipalmitoyl-sn-glycerol-3-phosphorylcholine, 1, 2-dioleoyl-sn-glycerol-3-phosphorylcholine and distearoyl phosphatidylcholine. The molar ratio of the first lipid component to the second lipid component is (1-3): 1. According to the invention, all organic free radicals are used for replacing gadolinium ions, so that renal toxicity and systemic fibrosis risks caused by metal accumulation are eliminated, and the method is especially suitable for imaging of patients with renal insufficiency. The material synthesis process is simple, and the cost is controllable. In addition, the system is seamlessly compatible with clinical 3.0 T MRI equipment, additional hardware transformation is not needed, and popularization and application of AKI bedside rapid imaging diagnosis can be directly promoted.

This invention discloses a deep learning-driven 3D medical image diagnostic assistance system. In this system, the model training module serves as the core, and the meticulous design and collaborative work of its internal sub-modules bring significant benefits to the entire system. The data loading sub-module ensures efficient reading and preprocessing of large-scale image data, providing a stable data flow for subsequent training. Through automated feature learning and model customization and optimization, the model training module achieves efficient transformation from raw image data to diagnostic knowledge, greatly improving diagnostic accuracy and efficiency. Doctors can rely on the accurate diagnostic results provided by the system to develop treatment plans more quickly and improve patient prognosis. Simultaneously, efficient training management and performance monitoring and evaluation ensure the stability and reliability of the model throughout the training process.

The objective is to provide image diagnostic technology that utilizes machine learning models. [Solution] One aspect of the present disclosure relates to a machine learning model trained using training data that includes first ultrasonic image data based on a received signal received by an ultrasonic transducer, first ground truth data which is first region information associated with a detection target of the first ultrasonic image data, and second ground truth data which is either first location information associated with a detection target of the first ultrasonic image data, or second region information based on the first location information.

To measure the weight of a subject by a bed apparatus.SOLUTION: A medical image diagnostic apparatus according to an embodiment comprises: a top plate; a lifting mechanism; a power unit; a power control unit; and an estimation unit. A subject is placed on the top plate. The lifting mechanism lifts or lowers the top plate. The power unit gives the power of holding or lifting / lowering the top plate to the lifting mechanism. The power control unit controls the power unit such that the top plate is lowered according to the weight of the subject placed on the top plate. The estimation unit estimates an estimated weight being the weight of the subject on the basis of a displacement amount of a height position of the top plate under the control.SELECTED DRAWING: Figure 2

The invention discloses a medical institution-oriented AI data governance method, which relates to the field of intelligent medical treatment, solves the problem that the existing AI data governance method has a poor medical data governance effect, and comprises the following steps: S1, acquiring medical text data and medical image data, dividing the medical text data into independent medical analysis texts, and storing the medical analysis texts in a database; s2, carrying out diagnosis matching analysis on the medical analysis image according to the medical institution acquisition data, obtaining an image diagnosis reasonability index corresponding to the medical analysis image according to the analysis result, and carrying out diagnosis matching analysis on the medical analysis image according to the analysis result; and S3, according to the medical image preliminary screening data and the data collected by the medical institution, medical data treatment is carried out to obtain treatment qualified data, and the AI data treatment effect can be improved.

Provided are a body movement display apparatus, an operation method thereof, and an image diagnostic system that reduce a movement of a line of sight of a subject and enable the subject to satisfactorily recognize his / her own body movement. A body movement display apparatus includes a processor that displays an image in a manner that is visible to a subject during an examination of the subject using an MRI apparatus, and a body movement detection sensor including a first camera and a second camera that detect a body movement of the subject, in which the processor generates a first graphic that is rotationally symmetric about a fixed center and whose size changes according to a magnitude of the body movement of the subject detected by the body movement detection sensor, and projects the generated first graphic into a bore of the MRI apparatus as the image using the projector.

A diagnostic imaging assistance device 1 comprises: a first acquisition unit 10 for acquiring an image of a head through MRI; an image processing unit 11 for extracting a region containing information on a lesion site and the periphery of the lesion site from the acquired image of the head and generating a first image having the extracted region; an extraction unit 12 for extracting a predetermined image feature amount from the first image; a classification unit 14 for determining, on the basis of the image feature amount extracted by the extraction unit 12, the presence or absence of a molecular biomarker associated with the lesion site for classification using a pre-constructed classifier; and a presentation unit 15 for presenting assistance information related to whether or not the lesion site contained in the image of the head has the molecular biomarker, on the basis of the result of the classification by the classification unit 14.

The invention relates to a preparation process of near-infrared fluorescent powder, in particular to nickel-containing near-infrared fluorescent powder and a preparation method thereof, a certain amount of barium carbonate, gallium oxide, nickel oxide and isopropanol are taken to be prepared into turbid liquid, and the nickel-containing barium gallate-based near-infrared fluorescent powder is prepared through the steps of grinding, drying, grinding, pressing, heat treatment, cooling, grinding and the like. Under the excitation of 635 nm light, the fluorescent powder presents ultra-wide band near-infrared luminescence composed of 1050-1400 nm light emission derived from matrix defects and 1300-1800 nm light emission of Ni < 2 + > ions; the light-emitting diode light source is more suitable for compact special near-infrared fluorescent powder conversion light-emitting diode light source design for high-resolution deep biological tissue imaging diagnosis equipment. Similarly, due to no ionizing radiation ultra-wide band NIR-II region emission, the system can be used in various biological tissue situations such as fat, muscle, endothelium and the like, and then development of multipurpose imaging diagnostic analysis technologies and equipment which are suitable for family daily medical treatment and are friendly and safe to special groups such as children, pregnant women, old people and the like can be promoted.

The utility model provides a medical imaging diagnosis ultrasonic probe device, which comprises a therapeutic apparatus main body, one side of the therapeutic apparatus main body is connected with a mounting rack, a plurality of probe main bodies are arranged in the mounting rack, and controllers are connected between the plurality of probe main bodies and the therapeutic apparatus main body; the plurality of protection assemblies are respectively arranged between the mounting rack and the plurality of probe main bodies, each protection assembly comprises a fixed rod, the surface of each fixed rod is sleeved with a movable sleeve, and one side of each movable sleeve is connected with a protection cover. According to the medical image diagnosis ultrasonic probe device, the multiple fixing rods with the movable sleeves and the protective covers are arranged on the surface of the mounting frame with the multiple probe bodies, the probe bodies can be protected in an independent mode, and meanwhile the probe bodies can be taken out by opening the independent protective covers in the later use process.

A medical image diagnostic apparatus, an inference method, an inference apparatus, and a storage medium according to an embodiment include acquiring attribute information for a target patient to be subjected to inference, and estimating a causal relationship between the attribute information for the target patient and a treatment effect for the target patient using a causal inference model including a decision tree model optimized based on knowledge information defining rules for determining a treatment to be applied to other patient and clinical information indicating relationship between attribute information for the other patient and other treatment effect observed after the treatment.

The present application relates to the intelligent generation of a medical image diagnostic report. A method according to an embodiment of the present application comprises: acquiring a medical image, and determining a region of interest in the medical image; on the basis of the region of interest determined in the medical image, determining initial diagnostic text by means of a text generation model, and displaying the initial diagnostic text to a user; and in response to input information of the user, adjusting the region of interest and / or the initial diagnostic text, so as to generate a diagnostic report.

An ultrasound diagnostic apparatus enables a user to easily select a target image from among a plurality of images captured by an image diagnostic apparatus. An identification unit identifies, as one image group, a plurality of images continuously captured at time intervals equal to or less than a predetermined time interval among a plurality of images captured by an image diagnostic apparatus. A display controller displays, on a display, the image group and an image other than the image group in a distinguishable manner. For example, the display controller displays the image group as one thumbnail image on the display, and displays the image other than the image group as one thumbnail image on the display.

To provide a novel mechanism that supports a user in the setting of a sheet to be used in image diagnosis, for example.SOLUTION: An image diagnosis apparatus is configured to: read, by reading means, a sheet with an image formed conveyed from an image forming unit; and diagnose an abnormality of an apparatus by detecting the abnormality in the read image; The image diagnosis apparatus is further configured to: perform setting relating to the image diagnosis according to a user operation; and support a user in setting a sheet more suitable as a sheet to be used in image diagnosis when performing setting for a sheet to be used in image diagnosis.SELECTED DRAWING: Figure 4

Provided is a diagnostic imaging assistance device (10) that assists in determining the invasion depth of a lesion (90) in an endoscopic image. The diagnostic imaging assistance device (10) comprises: a data acquisition unit (12) that acquires three-dimensional data pertaining to a lesion (80) which has been extracted on the basis of an endoscopic image; a curve acquisition unit (14) that acquires, from the three-dimensional data, at least one cross-sectional curve (90L) of the lesion (90) which has a convex shape; a feature extraction unit (15) that extracts at least one prescribed feature amount from the cross-sectional curve (90L); and a computation unit (16) that calculates an invasion depth score of the lesion (90) on the basis of the feature amount.

To provide a medical information processing apparatus, a medical information processing method and a program that enable a user to comfortably observe and operate images on a terminal device.SOLUTION: A medical information processing apparatus according to an embodiment includes an acquisition unit and a transmission control unit. The acquisition unit acquires an operation history of a user with respect to medical information which is generated by a medical imaging diagnostic apparatus and is transmitted to and displayed on a terminal device located remotely from the medical imaging diagnostic apparatus. The transmission control unit controls a transmission mode of the medical information transmitted from the medical imaging diagnostic apparatus to the terminal device based on the operation history.SELECTED DRAWING: Figure 6

The invention relates to the technical field of machine learning, can be applied to the fields of finance and medical treatment, and particularly discloses a model score mapping method and device based on piecewise linear interpolation, equipment and a medium. The score mapping formula is dynamically adjusted to adapt to the mapping requirements among different score models, the mapping accuracy is improved, the evaluation accuracy is further improved, the model score mapping method is applied to tasks such as face verification and medical image diagnosis when a financial account logs in, and the evaluation accuracy is improved. The scores of a plurality of scoring models actually used by the task can be accurately mapped, effective and accurate consistency scores are obtained, and then the evaluation accuracy is improved.

A medical information management device of an embodiment includes processing circuitry. The processing circuitry is configured to acquire patient authentication data for identifying a patient from a terminal device managed by a user, to authenticate that the patient is a user of a medical image diagnostic device on the basis of the patient authentication data, and to give the terminal device an editing authority to edit setting information on the patient set to examine the patient by the medical image diagnostic device on the basis of a result of the authentication.

Provided are a medical image diagnostic system, a medical image diagnostic method, and a program that reduce the burden on a doctor when image diagnosis is performed on a large number of medical images, such as in health checkups. The above-described problem is solved by a medical image diagnostic system comprising at least one processor and at least one memory that stores commands for execution by the at least one processor, the at least one processor performing a first determination for determining whether a medical image obtained by photographing a subject is normal, and performing a second determination for determining whether there is any abnormality from the medical image when it is determined in the first determination that the medical image is not normal.