MULTIMODAL FOUNDATION MODEL FOR PATIENT RISK STRATIFICATION

    公开(公告)号:US20250166827A1

    公开(公告)日:2025-05-22

    申请号:US18949548

    申请日:2024-11-15

    Abstract: The described technology is generally directed towards automated and dynamic creation of a recommended treatment for a patient's medical condition. A potential treatment can be generated by application of patient data to a multimodal model representing radiomic data and pathomic data integrated with transcriptomic data. The potential treatment can be applied to a probability model to determine a risk score for the potential treatment. The probability model comprises a collection of treatments and medical conditions, in conjunction with respective measures of success of application of a respective treatment to a respective condition. The multimodal model can comprise a network of nodes and edges, wherein the nodes represent knowledge of a patient condition, medical knowledge/medical research regarding the respective patient conditions, and the like. An output of the multimodal model is one or more recommended treatments for the medical condition.

    METHODS AND SYSTEM FOR DATA TRANSFER FOR ULTRASOUND ACQUISITION

    公开(公告)号:US20230263502A1

    公开(公告)日:2023-08-24

    申请号:US17652454

    申请日:2022-02-24

    CPC classification number: A61B8/4472 A61B8/4427 A61B8/5207 A61B8/488

    Abstract: Methods and systems are provided for ultrasound imaging. In one example, a method includes receiving ultrasound signals of a region of interest with a wireless hand-held probe assembly, generating a plurality of received digital signals based on the received ultrasound signals within the wireless hand-held probe assembly, generating each of a larger dataset and a smaller dataset from the plurality of received digital signals, transmitting the smaller dataset from the wireless hand-held probe assembly to a hub via a lower bandwidth wireless connection, transmitting the larger dataset from the wireless hand-held probe assembly to the hub via a higher bandwidth wireless connection, generating each of a low resolution image from the smaller dataset and a high resolution image from the larger dataset at the hub, and transmitting the low resolution image from the hub to a first display and the high resolution image from the hub to an electronic device.

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