METHOD AND SYSTEM FOR QUANTIFICATION OF SEVERITY OF A LUNG DISEASE

    公开(公告)号:US20250069751A1

    公开(公告)日:2025-02-27

    申请号:US18943230

    申请日:2024-11-11

    Applicant: Veytel, Inc.

    Abstract: A system, method, and computer program product for quantification of severity of a lung disease. An example aspect is configured to: provide an image file of a chest x-ray from a patient to a first artificial intelligence system to perform pre-processing of the image, wherein the lung is divided into at least four sections; provide each section to a second artificial intelligence system to generate a first density score and a first extent score of each section to calculate a first RALE score, wherein the second artificial intelligence system generates a density segmentation map of each section to calculate a second density score and a second extent score to calculate a second RALE score; analyze the first RALE score and the second RALE score; and display a result to a user.

    Self-Validating Module for Software Control of Medical Devices

    公开(公告)号:US20250069736A1

    公开(公告)日:2025-02-27

    申请号:US18830307

    申请日:2024-09-10

    Abstract: Apparatus and associated methods relate to a Self-Validating System (SVS) which includes an Electronic Self-Validating Module (ESVM) that may be employed within a medical device, operable to receive and to transmit wireless transmissions to and from a personal electronic mobile device, the mobile device executing a Self-Validating Medical Device Remote Control (SVMDRC) application, also known as the mobile app, operable to control the ESVM, the mobile device and the ESVM further executing a pre-determined sequence of instructions at a pre-determined frequency, operable to perform a set of safety (validation) checks on the mobile device, and the ESVM. In an illustrative example, changes (updates) to the mobile device's operating system, the app, or the hardware on the mobile device may be detected by the mobile device, and may advantageously re-validate the mobile device automatically.

    GENERATING TRAINING DATA FOR A NUTRITIONAL REPLACEMENT MACHINE-LEARNING MODEL

    公开(公告)号:US20250069723A1

    公开(公告)日:2025-02-27

    申请号:US18455498

    申请日:2023-08-24

    Applicant: Maplebear Inc.

    Abstract: The online concierge system accesses item data for a target item and item data for a candidate item. The online concierge system generates a replacement score based on the accessed item data and generates a nutrition score based on the item data for the candidate item. The online concierge system generates a nutrition replacement score based on the replacement score and the nutrition score and stores a training example based on the item data and the nutrition replacement score. The training example may include the item data for the target item and the candidate item and a label based on the nutrition replacement score.

    DETERMINING A CLINICAL PARAMETER VIA EVALUATION OF SEQUENTIAL MEDICAL IMAGES

    公开(公告)号:US20250069216A2

    公开(公告)日:2025-02-27

    申请号:US18015021

    申请日:2021-07-07

    Abstract: Systems and methods are provided for determining a clinical parameter via evaluation of sequential medical images. A sequence of at least three medical images for a patient are captured at a scanner. A set of at least two difference images are generated from the sequence of at least three medical images. Each difference image represents a difference in content between two adjacent images in the sequence of at least three medical images. The set of at least two difference images are provided to a predictive model. The predictive model includes an artificial neural network having at least one convolutional layer. A clinical parameter for the patient is determined at the predictive model from at least the set of at least two difference images.

    ELECTRONIC STETHOSCOPE AND DIAGNOSTIC ALGORITHM

    公开(公告)号:US20250064424A1

    公开(公告)日:2025-02-27

    申请号:US18946253

    申请日:2024-11-13

    Abstract: Sounds produced by internal organs of the body can be used to monitor health conditions related to, for example, the heart and lungs. The present disclosure includes an electronic stethoscope that may be positioned by a user on locations of the body to record sounds from organs. The present disclosure also includes visual algorithms to guide positioning of the electronic stethoscope and audio diagnostic algorithms for providing analysis of recorded sounds.

    System and method for processing information

    公开(公告)号:US12238172B2

    公开(公告)日:2025-02-25

    申请号:US17536334

    申请日:2021-11-29

    Applicant: Fitistics, LLC

    Abstract: A system for processing biological data is provided and includes a monitoring device configured to receive biological data responsive to a living being. The system also includes an interface device communicated with the monitoring device to receive the biological data. Furthermore, the system includes a data transfer device, configured to receive the biological data from the interface device and communicate the biological data to a processing device for processing. Additionally, a method for processing biological information is provided, wherein the method includes receiving biological information from a monitoring device responsive to a first party and responsive to an exercise regime and processing the biological information to generate resultant information responsive to at least one physical characteristic of the first party.

Patent Agency Ranking