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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
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.
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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
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.
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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
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.
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