公开(公告)号：US11880976B2

公开(公告)日：2024-01-23

申请号：US17202199

申请日：2021-03-15

Applicant: Digital Diagnostics Inc.

Inventor： Warren James Clarida ,  Ryan Earl Rohret Amelon ,  Abhay Shah ,  Jacob Patrick Suther ,  Meindert Niemeijer ,  Michael David Abramoff

IPC: G06K9/00 ,  G06T7/00 ,  G16H30/40 ,  G16H50/30 ,  G16H50/20

CPC classification number: G06T7/0014 ,  G16H30/40 ,  G16H50/20 ,  G16H50/30 ,  G06T2207/10016 ,  G06T2207/30041

Abstract: Systems and methods are provided herein for minimizing retinal exposure to flash during image gathering for diagnosis. In an embodiment, a system captures a plurality of retinal images of different retinal regions. The system determines that a first portion of a first image does not meet a criterion while a second portion of the first image does meet the criterion, identifies a portion of the retina depicted in the first portion that does not meet the criterion, and determines whether the portion of the retina is depicted in a third portion of a second image and whether the third portion meets the criterion. Responsive to determining that the third portion meets the criterion, the system performs the diagnosis. Responsive to determining that the portion of the retina is not depicted in the second image, the system captures an additional image of the retinal region.

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：US20220054006A1

公开(公告)日：2022-02-24

申请号：US16997843

申请日：2020-08-19

Applicant: Digital Diagnostics Inc.

Inventor： Warren James Clarida ,  Ryan Earl Rohret Amelon ,  Abhay Shah ,  Jacob Patrick Suther ,  Meindert Niemeijer ,  Michael David Abramoff

IPC: A61B3/15 ,  A61B3/113 ,  G16H40/63

Abstract: Systems and methods are disclosed herein for detecting eye alignment during retinal imaging. In an embodiment, the system receives an infrared stream from an imaging device, the infrared stream showing characteristics of an eye of a patient. The system determines, based on the infrared stream, that the eye is improperly aligned at a first time, and outputs sensory feedback indicative of the improper alignment. The system detects, based on the infrared stream at a second time later than the first time, that the eye is properly aligned, and receives an image of a retina of the properly aligned eye from the imaging device.

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.