公开(公告)号：US12051490B2

公开(公告)日：2024-07-30

申请号：US17541936

申请日：2021-12-03

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.

公开(公告)号：US20240122475A1

公开(公告)日：2024-04-18

申请号：US18391406

申请日：2023-12-20

Applicant: Digital Diagnostics Inc.

Inventor： Michael D. Abramoff ,  Eric Talmage ,  Ben Clark ,  Edward DeHoog ,  Timothy Chung

IPC: A61B3/15 ,  A61B3/00 ,  A61B3/12

CPC classification number: A61B3/152 ,  A61B3/0008 ,  A61B3/0091 ,  A61B3/12

Abstract: An ocular alignment system for aligning a subject's eye with an optical axis of an ocular imaging device comprising one or more guide light and one or more baffle configured to mask the one or more guide light from view of the subject such that the one or more guide light is only visible to the subject when the eye of the subject is aligned with the optical axis of an ocular imaging system.

公开(公告)号：US20230419485A1

公开(公告)日：2023-12-28

申请号：US18367384

申请日：2023-09-12

Applicant: Digital Diagnostics Inc.

Inventor： Meindert Niemeijer ,  Ryan Amelon ,  Warren Clarida ,  Michael D. Abramoff

IPC: G06T7/00 ,  G06N3/08 ,  G06V10/44 ,  G06F18/214 ,  G06N3/045 ,  G06V10/82

CPC classification number: G06T7/0012 ,  G06N3/08 ,  G06V10/454 ,  G06F18/2148 ,  G06N3/045 ,  G06V10/82 ,  G06T2207/20084 ,  G06T2207/20081 ,  G06T2207/30041

Abstract: Provide are systems methods and devices for diagnosing disease in medical images. In certain aspects, disclosed is a method for training a neural network to detect features in a retinal image including the steps of: a) extracting one or more features images from a Train_0 set, a Test_0 set, a Train_1 set and a Test_1 set; b) combining and randomizing the feature images from Train_0 and Train_1 into a Training data set; c) combining and randomizing the feature images from Test_0 and Test_1 into a testing dataset; d) training a plurality of neural networks having different architectures using a subset of the training dataset while testing on a subset of the testing dataset; e) identifying the best neural network based on each of the plurality of neural networks performance on the testing data set; f) inputting images from Test_0, Train_1, Train_0 and Test_1 to the best neural network and identifying a limited number of false positives and false negative and adding the false positives and false negatives to the training dataset and testing dataset; and g) repeating steps d)-g) until an objective performance threshold is reached.

公开(公告)号：US11786148B2

公开(公告)日：2023-10-17

申请号：US16529685

申请日：2019-08-01

Applicant: Digital Diagnostics Inc.

Inventor： Michael D. Abramoff ,  Ryan Amelon

IPC: A61B5/12 ,  A61B5/00 ,  G16H10/60 ,  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.

公开(公告)号：US20240324875A1

公开(公告)日：2024-10-03

申请号：US18737811

申请日：2024-06-07

Applicant: Digital Diagnostics Inc.

Inventor： Michael D. Abramoff ,  Edward DeHoog

IPC: A61B3/10 ,  A61B3/00 ,  A61B3/12 ,  A61B3/14 ,  G01B9/02 ,  G01B9/02015 ,  G01B9/02091 ,  G01J3/45

CPC classification number: A61B3/102 ,  A61B3/0008 ,  A61B3/0025 ,  A61B3/1005 ,  A61B3/1225 ,  A61B3/14 ,  G01B9/02027 ,  G01B9/02028 ,  G01B9/02044 ,  G01B9/02091 ,  G01J3/45 ,  G01B2290/65

Abstract: Provided is a snapshot spectral domain optical coherence tomographer comprising a light source providing a plurality of beamlets; a beam splitter, splitting the plurality of beamlets into a reference arm and a sample arm; a first optical system that projects the sample arm onto multiple locations of a sample; a second optical system for collection of a plurality of reflected sample beamlets; a third optical system projecting the reference arm to a reflecting surface and receiving a plurality of reflected reference beamlets; a parallel interferometer that provides a plurality of interferograms from each of the plurality of sample beamlets with each of the plurality of reference beamlets; an optical image mapper configured to spatially separate the plurality of interferograms; a spectrometer configured to disperse each of the interferograms into its respective spectral components and project each interferogram in parallel; and a photodetector providing photon quantification.

公开(公告)号：US20240293045A1

公开(公告)日：2024-09-05

申请号：US18665415

申请日：2024-05-15

Applicant: Digital Diagnostics Inc.

Inventor： Michael D. Abramoff ,  Ryan Amelon

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

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.

公开(公告)号：US11903649B2

公开(公告)日：2024-02-20

申请号：US16917504

申请日：2020-06-30

Applicant: Digital Diagnostics Inc.

Inventor： Michael D. Abramoff ,  Eric Talmage ,  Ben Clark ,  Edward DeHoog ,  Timothy Chung

IPC: A61B3/15 ,  A61B3/00 ,  A61B3/12

CPC classification number: A61B3/152 ,  A61B3/0008 ,  A61B3/0091 ,  A61B3/12

Abstract: An ocular alignment system for aligning a subject's eye with an optical axis of an ocular imaging device comprising one or more guide light and one or more baffle configured to mask the one or more guide light from view of the subject such that the one or more guide light is only visible to the subject when the eye of the subject is aligned with the optical axis of an ocular imaging system.

公开(公告)号：US11790523B2

公开(公告)日：2023-10-17

申请号：US16175318

申请日：2018-10-30

Applicant: Digital Diagnostics Inc.

Inventor： Meindert Niemeijer ,  Ryan Amelon ,  Warren Clarida ,  Michael D. Abramoff

IPC: G06T7/00 ,  G06N3/08 ,  G06V10/44 ,  G06F18/214 ,  G06N3/045 ,  G06V10/82

CPC classification number: G06T7/0012 ,  G06F18/2148 ,  G06N3/045 ,  G06N3/08 ,  G06V10/454 ,  G06V10/82 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30041

Abstract: A device receives an input image of a portion of a patient's body, and applies the input image to a feature extraction model, the feature extraction model comprising a trained machine learning model that is configured to generate an output that comprises, for each respective location of a plurality of locations in the input image, an indication that the input image contains an object of interest that is indicative of a presence of a disease state at the respective location. The device applies the output of the feature extraction model to a diagnostic model, the diagnostic model comprising a trained machine learning model that is configured to output a diagnosis of a disease condition in the patient based on the output of the feature extraction model. The device outputs the determined diagnosis of a disease condition in the patient obtained from the diagnostic model.

公开(公告)号：US20230178200A1

公开(公告)日：2023-06-08

申请号：US17541936

申请日：2021-12-03

Applicant: Digital Diagnostics Inc.

Inventor： Michael D. Abramoff

IPC: G16H20/00 ,  G16H50/20 ,  G06T7/00 ,  G06K9/62

CPC classification number: G16H20/00 ,  G16H50/20 ,  G06T7/0012 ,  G06K9/6256

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.

公开(公告)号：US11232548B2

公开(公告)日：2022-01-25

申请号：US15466636

申请日：2017-03-22

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.