96 results about "Imaging diagnostic" patented technology

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.

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

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.

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.

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.

A radioactive medical isotope labeled rare-earth doped nanomaterial, a PET imaging diagnosis and treatment agent, a preparation method therefor and an application thereof. The radioactive medical isotope labeled rare-earth doped nanomaterial comprises an inner core. The structural general formula of the inner core is MxTyFx+4y:Ln / R, wherein M is an alkali metal element, and T is a transition metal element and selected from one or more of Ti, Zr and / or Hf; 1 ≤ x ≤ 7, 1 ≤ y ≤ 6; Ln is a rare earth element and stable isotope; R is a radioactive medical isotope having radioactivity and selected from one or more of 90Y, 177Lu, 153Sm, 223Ra, 111In and, 89Zr. The radioactive medical isotope labeled rare-earth ion doped nanomaterial can realize deep tissue penetration high-resolution rare earth fluorescence and global PET multimodal medical images, and is a multifunctional inorganic nano rare earth fluorescent PET imaging agent capable of being effectively degraded and removed in an organism.

This invention relates to a photosensitizer with a D1-π-A-π-D2 type structure based on asymmetric end-capped donor units. This material is characterized by using 4-(5-(4-(9H-carbazole-9-yl)phenyl)) as donor units (D1) and 5-(4-(diphenylamino)phenyl) as donor units (D2), with isooctylthiophene as the connecting π-bridge, and phenazine as the central acceptor unit (A), specifically naphthiazo[1,2-b][1,2,5]thiadiazo[3,4-g]quinoxaline and [1,2,5]thiadiazo[3,4-i]dithienozo[2,3-a:3',2'-c]phenazine. The photophysical properties of this D1-π-A-π-D2 type photosensitizer were tested, and a novel photosensitizer with high photothermal conversion efficiency and high reactive oxygen species (ROS) yield was developed. The material involved in this invention has near-infrared II region imaging and photothermal in-situ imaging diagnostic functions, and is expected to be used as an organic photosensitizer material for integrated photothermal and photodynamic diagnosis and treatment.

The product in question is a bed for an imaging diagnostic device, and the part for which design registration is sought is an operating handle attached to the bed for an imaging diagnostic device.

To provide a medical image diagnostic system, a medical image diagnostic method and a program for reducing the labor of a doctor in the case of performing image diagnosis to a large amount of medical images such as medical checkup.SOLUTION: And at least one memory storing instructions for execution by the at least one processor, wherein the at least one processor performs first determination for determining whether or not there is an abnormality from a medical image obtained by imaging a subject, and performs second determination for determining whether or not the medical image is normal in a case where it is determined that there is no abnormality in the first determination.SELECTED DRAWING: Figure 3

To prevent a collision between a moving subject and a rack device.SOLUTION: A medical image diagnostic apparatus according to an embodiment comprises: an acquisition unit; a calculation unit; a determination unit; and an output unit. The acquisition unit acquires gravity center position information indicating the gravity center position of a subject at time points before and after movement of a top plate mounted with the subject toward a rack device and mounting direction information indicating the direction of the subject mounted toward the rack device. The calculation unit calculates a positional change about the gravity center position of the subject on the basis of the gravity center position information. The determination unit determines such a risk that the subject collides with the rack device on the basis of the positional change and the mounting direction information. The output unit outputs an alert to notify that the risk exists when it is determined that the risk exists.SELECTED DRAWING: Figure 1

To reduce a feeling of pressure and a cooped-up feeling in a bore.SOLUTION: A medical image diagnostic device includes a moving body, a top plate, a screen, a first frame, a second frame, a posture estimation part, a rotation amount determination part, and a projector control part. The moving body can move in a bore along a central axis of the bore formed on a trestle equipped with a medical imaging mechanism for imaging a subject. The top plate can be inserted into the bore. The screen is provided in the moving body, and a video from a projector is projected on it. The first frame is connected to the moving body, and is disposed on a projector side with respect to the screen. The second frame supports a reflection plate, and is movable along the first frame. The posture estimation part estimates the posture of the subject on the basis of the position of the reflection plate with respect to the screen or the direction of the head of the subject. The rotation amount determination part determines a rotation amount of the video on the basis of the posture. The projector control part controls the projector so as to rotate the video according to the rotation amount.SELECTED DRAWING: Figure 2

1. Name of the product in this design: Wireless Handheld Color Doppler Ultrasound Imaging Diagnostic System. 2. Purpose of this design: For use in color Doppler ultrasound diagnostic systems, where users acquire images for diagnosis. 3. The key design elements of this product are the combination of shape, pattern, and color. 4. The image or photograph that best illustrates the design's key features: the front view. 5. The design for which protection is sought includes color.

To provide a medical image diagnostic system, a medical image diagnostic method and a program for reducing the labor of a doctor in the case of performing image diagnosis to a large amount of medical images such as medical checkup.SOLUTION: At least one processor and at least one memory storing instructions for execution by the at least one processor, wherein the at least one processor is configured to perform first determination for determining whether or not a medical image obtained by imaging a subject is normal, and perform second determination for determining whether or not there is an abnormality from the medical image in a case where it is determined that the medical image is not normal in the first determination.SELECTED DRAWING: Figure 3

The application belongs to the technical field of medical equipment and instruments, and particularly relates to a medical image diagnosis auxiliary device, which comprises a diagnosis equipment main body, a first lifting table arranged on one side of the diagnosis equipment main body, a support plate arranged on the upper surface of the first lifting table, a first sliding block slidingly connected to the upper surface of the support plate and moving along the direction of a detection port of the diagnosis equipment main body, a first driving unit arranged on the surface of the support plate and used for driving the first sliding block to move, an auxiliary unit arranged at the end of the first sliding block away from the diagnosis equipment main body, and a second lifting table, a seat cushion slidingly arranged on the upper surface of the second lifting table, a backrest vertically hinged on both sides of the seat cushion, and a leg support. The first lifting table and the second lifting table are coaxially arranged, and the seat cushion is movable along the movement direction of the first sliding block. The technical scheme can effectively solve the problem that the current diagnosis auxiliary device is inconvenient for patients to get on and off the support table, needs the assistance of medical staff, and leads to the problems of time-consuming and labor-consuming detection efficiency.

This application relates to the fields of computer and medical imaging technology, specifically to a CT-based image diagnostic model training method, image processing method, and system. The CT-based image diagnostic model training method includes: acquiring a current medical image diagnostic model trained under supervised fine-tuning, and sample unenhanced scan images, wherein the current medical image diagnostic model includes a diffusion generation module; using the diffusion generation module, performing multiple denoising operations on random noise images based on the sample unenhanced scan images to obtain multiple first predicted enhanced scan images; determining multiple dominance values ​​corresponding to the sample unenhanced scan images based on the multiple first predicted enhanced scan images and the sample unenhanced scan images; and performing reinforcement learning training on the diffusion generation module based on the multiple dominance values ​​to obtain the target medical image diagnostic model. This application improves the accuracy of predicted images, resulting in higher diagnostic accuracy and efficiency.

This invention discloses an AI training image algorithm for CT scans, comprising: inputting an initial image Image, wherein the initial image is a clinical routine CT noise reduction image or a medical model CT image; performing orthographic projection processing on the initial image to generate 180° multi-channel attenuation values; determining the target photon count according to the required noise level, obtaining the maximum projection value among the multi-channel attenuation values, converting the attenuation values ​​of each channel into photon counts, and generating Poisson noise and Gaussian noise; performing modulation processing on the Poisson noise and Gaussian noise corresponding to each channel to generate the comprehensive noise of that channel, adding the comprehensive noise of each channel to the photon count of the corresponding channel to obtain the noisy photon count; converting the noisy photon count of each channel to the projection domain to obtain the noisy attenuation value, and performing back projection processing on the noisy attenuation value to generate a simulated CT noise image for AI training, which can reduce clinical image noise, improve image diagnostic reliability and equipment performance.