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    DIRECT MEDICAL TREATMENT PREDICTIONS USING ARTIFICIAL INTELLIGENCE
    1.
    发明公开
    DIRECT MEDICAL TREATMENT PREDICTIONS USING ARTIFICIAL INTELLIGENCE 审中-公开

    公开(公告)号：US20240347159A1

    公开(公告)日：2024-10-17

    申请号：US18757298

    申请日：2024-06-27

    Applicant: Digital Diagnostics Inc.

    Inventor： Michael D. Abramoff

    IPC: G16H20/00 ,  G06F18/214 ,  G06T7/00 ,  G16H50/20

    CPC classification number: G16H20/00 ,  G06F18/214 ,  G06T7/0012 ,  G16H50/20

    Abstract: A device is disclosed herein that receives image data corresponding to an anatomy of a patient. The device applies the image data to one or more feature models trained using training data that pairs anatomical images to an anatomical feature label, and receives, as output from the one or more feature models, scores for each of a plurality of anatomical features corresponding to the image data. The device applies the scores as input to a treatment model, the treatment model trained to output a prediction of a measure of efficacy of a particular treatment based on features of the patient's anatomy. The device receives, as output from the treatment model, data representative of the predicted measure of efficacy of the particular treatment.

    Autonomous diagnosis of ear diseases from biomarker data
    3.
    发明授权
    Autonomous diagnosis of ear diseases from biomarker data 有权

    公开(公告)号：US12011261B2

    公开(公告)日：2024-06-18

    申请号：US18236287

    申请日：2023-08-21

    Applicant: Digital Diagnostics Inc.

    Inventor： Michael D. Abramoff ,  Ryan Amelon

    IPC: G16H10/60 ,  A61B5/00 ,  A61B5/12 ,  G16H50/20 ,  G16H50/30 ,  G16H50/70 ,  A61B1/227

    CPC classification number: A61B5/121 ,  A61B5/0066 ,  A61B5/4842 ,  A61B5/7275 ,  G16H10/60 ,  G16H50/20 ,  G16H50/30 ,  G16H50/70 ,  A61B1/227

    Abstract: A fully autonomous system is used to diagnose an ear infection in a patient. For example, a processor receives patient data about a patient, the patient data comprising at least one of: patient history from medical records for the patient, one or more vitals measurements of the patient, and answers from the patient about the patient's condition. The processor receives a set of biomarker features extracted from measurement data taken from an ear of the patient. The processor synthesizes the patient data and the biomarker features into input data, and applies the synthesized input data to a trained diagnostic model, the diagnostic model comprising a machine learning model configured to output a probability-based diagnosis of an ear infection from the synthesized input data. The processor outputs the determined diagnosis from the diagnostic model. A service may then determine a therapy for the patient based on the determined diagnosis.

    System and Methods for Qualifying Medical Images
    4.
    发明申请
    System and Methods for Qualifying Medical Images 有权

    公开(公告)号：US20220114719A1

    公开(公告)日：2022-04-14

    申请号：US17558016

    申请日：2021-12-21

    Applicant: Digital Diagnostics Inc.

    Inventor： Michael D. Abramoff ,  Ben Clark ,  Eric Talmage ,  John Casko ,  Warren Clarida ,  Meindert Niemeijer ,  Timothy Dinolfo ,  Tay Stutts

    IPC: G06T7/00 ,  G16H30/20 ,  G16H30/40

    Abstract: Disclosed is a system for qualifying medical images submitted by user for diagnostic analysis comprising: an image input module, configured to receive one or more image input by a user; an image protocol conformation module, configured to receive the one or more images from the image input module, and further configured to analyze each of the one or more images for conformity with a predefined protocol and wherein images that do not conform to the predefined protocol are flagged as non-conforming images; an image output module, configured to identify to the user each of the one or more images flagged as non-conforming and prompting the user to resubmit a new image for each of the non-conforming images; and an image resubmission module, configured to receive the user resubmitted image and provide the resubmitted image to the image protocol conformation module.

    Data Aggregation, Integration and Analysis System and Related Devices and Methods
    5.
    发明申请
    Data Aggregation, Integration and Analysis System and Related Devices and Methods 有权

    公开(公告)号：US20210249134A1

    公开(公告)日：2021-08-12

    申请号：US17237377

    申请日：2021-04-22

    Applicant: Digital Diagnostics Inc.

    Inventor： Michael D. Abramoff

    IPC: G16H50/20 ,  G06F16/23 ,  G06N3/08 ,  G16H30/40 ,  G16H50/70 ,  G06K9/62

    Abstract: A system for recording, storing and processing diagnostic information, including: a computer implementing a computer-readable media including digital data and ground truth; a registry constructed and arranged to store and associate transactions or accesses on the data; and a machine learning system that considers each learning step modification a microtransaction for the data used in that step and which is recorded in the transaction registry. Other embodiments of this aspect include corresponding computer systems, apparatus, and computer programs recorded on one or more computer storage devices, each configured to perform the actions of the methods.

    System and methods for qualifying medical images
    6.
    发明授权
    System and methods for qualifying medical images 有权

    公开(公告)号：US12243206B2

    公开(公告)日：2025-03-04

    申请号：US17558016

    申请日：2021-12-21

    Applicant: Digital Diagnostics Inc.

    Inventor： Michael D. Abramoff ,  Ben Clark ,  Eric Talmage ,  John Casko ,  Warren Clarida ,  Meindert Niemeijer ,  Timothy Dinolfo ,  Tay Stutts

    IPC: G06T7/00 ,  G16H30/20 ,  G16H30/40

    Abstract: Disclosed is a system for qualifying medical images submitted by user for diagnostic analysis comprising: an image input module, configured to receive one or more image input by a user; an image protocol conformation module, configured to receive the one or more images from the image input module, and further configured to analyze each of the one or more images for conformity with a predefined protocol and wherein images that do not conform to the predefined protocol are flagged as non-conforming images; an image output module, configured to identify to the user each of the one or more images flagged as non-conforming and prompting the user to resubmit a new image for each of the non-conforming images; and an image resubmission module, configured to receive the user resubmitted image and provide the resubmitted image to the image protocol conformation module.

    AUTONOMOUS DIAGNOSIS OF EAR DISEASES FROM BIOMARKER DATA
    8.
    发明公开
    AUTONOMOUS DIAGNOSIS OF EAR DISEASES FROM BIOMARKER DATA 审中-公开

    公开(公告)号：US20230389827A1

    公开(公告)日：2023-12-07

    申请号：US18236287

    申请日：2023-08-21

    Applicant: Digital Diagnostics Inc.

    Inventor： Michael D. Abramoff ,  Ryan Amelon

    IPC: A61B5/12 ,  A61B5/00 ,  G16H10/60 ,  G16H50/20 ,  G16H50/30 ,  G16H50/70

    CPC classification number: A61B5/121 ,  A61B5/7275 ,  A61B5/0066 ,  G16H10/60 ,  A61B5/4842 ,  G16H50/20 ,  G16H50/30 ,  G16H50/70 ,  A61B1/227

    Abstract: A fully autonomous system is used to diagnose an ear infection in a patient. For example, a processor receives patient data about a patient, the patient data comprising at least one of: patient history from medical records for the patient, one or more vitals measurements of the patient, and answers from the patient about the patient's condition. The processor receives a set of biomarker features extracted from measurement data taken from an ear of the patient. The processor synthesizes the patient data and the biomarker features into input data, and applies the synthesized input data to a trained diagnostic model, the diagnostic model comprising a machine learning model configured to output a probability-based diagnosis of an ear infection from the synthesized input data. The processor outputs the determined diagnosis from the diagnostic model. A service may then determine a therapy for the patient based on the determined diagnosis.

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