573results about "Medical reports" patented technology

Method, system, apparatus, and computer-readable media for reporting an automated medical opinion, including receiving, via a user interface, patient medical history, diagnostic tests, and current symptoms for a user; identifying, as automated output from a trained model, a diagnostic assessment including one or more of a medical diagnosis, a recommended medical treatment, or an recommended diagnostic medical test based on the patient medical history, diagnostic tests, and current symptoms received via the user interface; sending a report to the user based on the diagnostic assessment; receiving, via a feedback loop, feedback for the diagnostic assessment reported to the user; and updating the trained model based on the feedback.

A device may include a data acquisition layer comprising a patient information collector and a drug information collector, each operable to ingest patient-specific clinical data and drug-specific data, respectively. A device may include an analysis engine comprising a multi-criteria ranking engine configured to compute composite suitability score for candidate medications by weighting one or more of medication efficacy, medication safety, medication resistance, medication cost, or patient-specific coverage factors. A device may include a presentation layer comprising a summary dashboard configured to display a ranked medication recommendation set produced by the analysis engine.

A device may receive, by an intelligence analytics module of an intelligent dosing platform at least one applicable governance standard from a governance library. A device may determine, by the intelligence analytics module based on the at least one applicable governance standard, at least one analysis type to be performed regarding the request. A device may execute, by an artificial intelligence module of the intelligent dosing platform, the at least one analysis type with respect to the request according to the at least one applicable governance standard. A device may generate, based on a result of the at least one analysis type, a determination regarding whether to permit the requested dosage administration or the requested device control decision, wherein the determination accounts for compliance with the at least one applicable governance standard.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for managing and adapting monitoring programs. In some implementations, a system communicates with a set of remote devices involved in a monitoring program that involves collection of data from the remote devices over a communication network. The system determines a set of attributes associated with an outcome or condition that has occurred for multiple of the remote devices. The system generates parameters to adapt the monitoring program, and the system selects a second group of remote devices to involve in the adapted monitoring program based on profiles or sets of attributes of users associated with the remote devices. The system configures the remote devices in the selected second group to perform monitoring for the adapted monitoring program, including acquiring data for the adapted monitoring program and providing the acquired data to a server over the communication network.

The application provides a multi-modal ophthalmic base model for cross-scale contrast learning, a training method and device, and belongs to the field of artificial intelligence. The method comprises the following steps: obtaining a target fundus image and a target description text corresponding to the target fundus image; inputting the target fundus image and the target description text into an ophthalmic model to obtain a diagnosis report for an eye disease output by the ophthalmic model, wherein the ophthalmic model is trained based on local image features and global image features of reference fundus images in training data and global text features and local text features of diagnosis reports corresponding to the reference fundus images. The accuracy of the generation of the diagnosis report for the eye disease can be improved.

An apparatus comprises a processing device implementing a body area network (BAN) controller for a BAN associated with a subject. The processing device is configured to obtain sensor data from a set of sensors of one or more sensing devices in the BAN, and to analyze the obtained sensor data to identify at least a first sensor as a source of missing sensor data. The processing device is also configured to process, utilizing at least one machine learning model in a machine learning system implemented by the processor and the memory of the processing device, at least portions of the obtained sensor data to reconstruct the missing sensor data of the first sensor. The processing device is further configured to determine, based at least in part on the reconstructed sensor data of the first sensor, one or more physiologic monitoring parameters associated with the subject.

Embodiments provide for data input methods and systems for computer record storage and retrieval. In embodiments, an artificial intelligence system or a computer-based nodal analysis system allows for scanning or document acceptance, sorting, deletion of duplicate materials, storage and retrieval of data for use by individuals, such as health care professionals. Access to the methods and systems may be monitored or allowed according to different criteria such as the satisfaction of a payment criteria.

A method of reducing a data volume of a data stream in a surgical robotic system, the surgical robotic system comprising a robot having a base and an arm extending from the base to an attachment for an instrument, the arm comprising a plurality of joints whereby the configuration of the arm can be altered, the method comprising: receiving a data stream captured by the surgical robotic system, the data stream comprising data relating to a surgical procedure and having a first data volume; identifying a feature in the received data stream indicative of an event in the surgical procedure; and modifying, in dependence on the identified feature, the received data stream to generate a modified data stream having a second data volume that is smaller than the first data volume.

Embodiments of the present application disclose a kind of neuroimmunology detection analysis method, device, system and equipment, wherein, method includes: obtaining the detection result of at least one neuroimmunology detection item associated with target object;Detection result is input into preset neuroimmunology detection result analysis model, obtain the course classification result corresponding to detection result, and read target neuroimmunology detection information according to course classification result;Based on detection result, course classification result and target neuroimmunology detection information, generate target neuroimmunology detection report, and send target neuroimmunology detection report to target client.The technical scheme of the present application embodiment solves the problem that the content of the detection report of third-party detection agency is single, realizes the rich report content according to detection result, can provide detailed analysis report and reference information related to detection result for medical staff and patient, assist in the interpretation of detection result in clinic.

The application discloses a multi-agent multi-modal behavior cognitive screening and risk assessment system and method, comprising: collecting and preprocessing gait, facial video and voice signals of a subject; respectively performing feature analysis on the preprocessed gait, facial video and voice signals to generate corresponding gait, facial and audio structured evidence units; calculating cross-modal evidence consistency scores and evidence conflict degrees according to a multi-modal structured evidence set, performing cross-modal semantic fusion and multi-domain risk reasoning, generating a comprehensive behavior risk result and sub-domain risk results in the emotion domain, the cognitive domain and the social domain; when the risk assessment result reaches a preset trigger condition, introducing human-in-the-loop review to confirm or correct the risk assessment result; and generating the fusion reasoning result and the human-in-the-loop review result as a standardized assessment report. The application improves the stability, safety and explainability of risk assessment in the case of missing modalities, local anomalies or inconsistent multi-modal conclusions.

The invention relates to a computer-implemented method for providing a medical finding to a requesting entity, the method comprising a plurality of steps. A step is directed to obtaining at an evaluating entity, medical image data from a requesting entity, the requesting entity being remote from the evaluating entity. Another step is directed to determining, at the evaluating entity, at least one medical finding based on the obtained medical image data. Another step is directed to generating transmission image data. Another step is directed to embedding at least one of the determined medical findings as text in the transmission image data. Another step is directed to providing the at least one medical finding to the requesting entity by means of transmitting the transmission image data to the requesting entity.

A medical device includes one or more modules configurable to connect to one or more sensors for capturing one or more physiological variable measurements and a display screen for displaying the physiological variable measurements. The medical device receives data identifying a patient, retrieves an electronic medical record of the patient acquired from a system responsible for maintaining the electronic medical record, and stores the electronic medical record on the at least one memory device. The medical device determines an interruption of a connection with the system responsible for maintaining the electronic medical record. The medical device updates the electronic medical record to include the physiological variable measurements captured by the one or more sensors while the interruption persists.

A method for generating a diabetes management parameter user interface, the method comprising providing stored program instructions of a first diabetes management application (DMA), the first DMA configured to be stored in a memory of an electronic device and, when executed by a processor, the first DMA configured to: generate a first output display of a plurality of diabetes management parameters corresponding to a time series of analyte data, the plurality of diabetes management parameters depicting trends in diabetes management parameter levels over time; generate a graphical indicator of a link to a second DMA stored in the memory; and activate the second DMA in response to an input selection of the link, wherein the second DMA is configured to be executed by the processor to generate a second output display of current time diabetes management parameters corresponding to the time series of analyte data stored in the memory.

This invention belongs to the field of medical technology and discloses a system for extracting and analyzing ocular signs in orbital diseases based on multimodal external ocular images and clinical text. By constructing a multimodal model-based system for extracting and analyzing external ocular signs, this invention upgrades the technology from single-view analysis to collaborative analysis of "multi-view images—quantified signs—clinical text." This invention overcomes the reliance on single-modal or single-view images in existing technologies by performing cross-modal alignment and correlation analysis on standardized multi-view external ocular images, key quantitative parameters of external ocular signs, and clinical text information, thereby achieving systematic modeling of orbital-related external ocular signs. This approach better aligns with the actual process of clinicians comprehensively evaluating multi-source information during visual and oral examinations, helping to improve the completeness and stability of the analysis of complex or early atypical external ocular manifestations.

A method for the automated documentation of care measures for the care of a patient has the steps of: capturing image data of interactions between a caregiver and a patient using an image capture unit, processing the captured image data using an image processing algorithm for recognizing the interactions in the image data, and generating text and / or speech labels for the recognized interactions using a machine label generation learning model for the automated documentation of care measures using the generated text and / or speech labels.

The application relates to a new-born image record detection method, system, device and medium based on artificial intelligence. The method comprises the following steps: completing identity binding through wristband near field communication, generating a dynamic blood relationship label and embedding the video stream, combining multi-modal sensing data, identifying key events through a time sequence convolution network and an obstetric knowledge graph, and realizing intelligent control of image acquisition; a Mask R-CNN model is used to identify sensitive areas, and a segmented Logistic chaotic permutation based on UID and a timestamp is used to realize irreversible desensitization, and finally, the event is cut and archived according to the event and verified and uploaded. The method intelligently identifies key events of a new-born through multi-modal sensing data combined with an obstetric knowledge graph, realizes irreversible covering of sensitive areas through segmented Logistic chaotic pixel permutation, and realizes structured archiving based on events, thereby effectively improving the identity security, event identification accuracy, privacy protection strength and data management standardization of new-born image records, and guaranteeing the traceability and clinical reuse value of data.

Disclosed are a system for providing psychological counseling and a method therefor. According to the present invention, when a preset extended reality (XR) room-creation menu is selected from a website screen, an expert of an expert terminal performs a psychological counseling function in a metaverse chat room with a specific user under management, and a user of a terminal and the expert of the expert terminal may participate in another metaverse chat room together while performing a counseling function to perform a chat function, so that the expert may perform the psychological counseling function with the user in real-time and accordingly identify the user's psychological state and provide appropriate coping measures, and may accurately identify the user's state as the user performs the chat function with another user in a metaverse chat room.

The present invention relates to a system and a method for monitoring mental health and generating personalized reports. According to one embodiment of the present invention, the method for monitoring mental health and generating personalized reports comprises: receiving a user's response data to a self-report questionnaire, wherein the self-report questionnaire comprises questionnaires corresponding to the respective mental health scales; and generating a report on the user's mental state based on the response data to the self-report questionnaire. The mental state report includes a personalized mental health graph that visualizes daily scores for each mental health scale in the form of a bar chart.The bar charts included in the personalized mental health graphic can be displayed in colors that are predetermined according to criteria for the respective mental health scale. According to the present invention, it is possible to capture psychological, biological, and social digital phenotypes of groups with non-suicidal self-harm via the self-report questionnaire and thereby investigate predictive factors related to these phenotypes.

This application relates to the field of intelligent medical image analysis technology, and discloses an intelligent analysis system and method for endoscopic videos based on multi-agent collaboration. The system includes an edge computing device, a local server, and a host computer. The edge computing device executes the first and second agent modules in parallel, respectively using a target detection and instance segmentation shared backbone network to extract lesion segmentation masks and calculate physical dimensions using dynamic distance compensation; it also uses a spatiotemporal graph convolutional network combined with an anatomical topology finite state machine to output site segmentation results, and sends structured metadata to the local server via a message middleware. The local server executes the third and fourth agent modules sequentially, using retrieval enhancement generation technology to drive a large language model to generate medical descriptive text, and generating a medical examination report based on spatiotemporal alignment matching. The host computer performs visualization rendering and triggers closed-loop regeneration through label correction operations. This invention achieves intelligent analysis of the entire endoscopic video process.

Methods and systems for assessing cardiovascular functions of a patient are described. The method comprises acquiring ECG data and BIA data concomitantly through a plurality of electrodes positioned in an ECG configuration, predicting parameters of cardiovascular function from the ECG data and the BIA data using deep learning algorithms, and outputting surrogates of parameters of cardiovascular functions in a clinical format.

The application discloses a kind of multi-source physical examination report data extraction and index comparability determination method and system, comprising: collecting physical examination report image, and the pre-processing of physical examination report image;Text recognition processing is carried out to the physical examination report image after pre-processing, and the original data of physical examination index is extracted from the text recognition result;Physical examination index original data is input into index semantic mapping module, and semantic standardization processing is carried out by pre-set index alias library;From the text recognition result, the detection method information corresponding to the original data of physical examination index is extracted, or the detection method of the physical examination report that is not explicitly labeled is completed;Based on standard index semantic data and detection method metadata, the same standard index of different time or different source is executed comparability determination;According to the comparability determination result, the corresponding analysis strategy is used to generate health analysis result;The application can provide more accurate, reliable and personalized health evaluation and suggestion for user.

The application discloses a kind of medical inspection report multi-stage cascade processing method and system, wherein the method comprises: obtaining inspection report, and the original table data in the inspection report is cascade pretreated, and standardization table data is generated;Based on the standardization table data, structured index extraction is carried out, and structured index data is obtained, and the result value in the structured index data and reference range determine index state information;Based on the structured index data, generate basic information data and health advice text, wherein the health advice text is generated based on the index state information.The application effectively solves the problem that the expression of inspection report of different hospitals / equipment is quite different and cannot be aligned stably.

The application discloses a farm veterinarian question and answer and auxiliary diagnosis method and system based on a large language model, which comprises the following steps: standardizing a colloquial query to obtain structured query information; based on the information, mixed retrieval is carried out from a hierarchical veterinarian knowledge base to obtain a candidate disease list and a multi-source evidence set; a preliminary diagnosis answer is generated according to the multi-source evidence set, semantic and evidence alignment evaluation is carried out, and evidence sufficiency scores are generated; the differential diagnosis attributes of each disease in the candidate disease list are compared to identify key differences, and information missing items are identified by comparison with standard symptom profiles; based on the scores, key differences and information missing items, a multi-round diagnosis enhanced retrieval framework and user interaction are adopted, the candidate disease list and the multi-source evidence set are updated, and a diagnosis report is generated in combination with veterinary drug compliance rules. The application integrates hierarchical knowledge graphs, multi-evidence alignment and multi-round diagnosis logic, improves the accuracy of veterinarian question and answer, reduces knowledge illusion, and ensures drug compliance.

Disclosed are a clinical research data analysis method capable of real-time analysis and a device therefor. The clinical research data analysis method according to an embodiment of the present invention may comprise: a data collection step for collecting clinical research data input to an electronic data collection system; a data analysis processing step for generating a data analysis result by performing real-time analysis or statistical analysis by using the collected clinical research data as an input; and a service processing step for converting the data analysis result into a preset report format and providing same to at least one clinical research-related institution.

The following relates generally to improved clinical symptom analysis. In some embodiments, one or more processors: (1) receive patient input data; (2) obtain patient survey data representing the patient's condition; (3) determine a trend in the patient survey data using a determination algorithm; (4) apply the generative AI algorithm to the patient input data, the patient survey data, and the trend in the patient survey data to produce a report of the trend of the patient's condition; and / or (5) display the report on a display device.

An intelligent dosing platform system for device lifecycle management and predictive maintenance comprising intelligent injection devices with sensors configured to detect operational parameters, device monitoring modules tracking sensor calibration state, battery life metrics, and device performance data. A predictive analytics module analyzes device operational data to forecast maintenance timing, sensor calibration requirements, and device replacement needs. The system includes maintenance scheduling modules that generate automated maintenance alerts based on predicted device performance degradation. A lifecycle documentation module maintains comprehensive device history records including deployment dates, calibration events, maintenance activities, and retirement tracking. The system optimizes device fleet performance through proactive maintenance scheduling, minimizes device downtime through predictive failure prevention, ensures patient safety through continuous device integrity monitoring, and maintains regulatory compliance through comprehensive lifecycle documentation and firmware management capabilities.