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.

公开(公告)号：US12029481B2

公开(公告)日：2024-07-09

申请号：US16854515

申请日：2020-04-21

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：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.

公开(公告)号：US20220309668A1

公开(公告)日：2022-09-29

申请号：US17619173

申请日：2020-06-15

Applicant: Digital Diagnostics Inc.

Inventor： Elliot Swart ,  Elektra Efstratiou Alivisatos ,  Joseph Ferrante ,  Elizabeth Asai

IPC: G06T7/00 ,  G06T7/90 ,  G06V10/764 ,  G06V10/72 ,  A61B5/00 ,  A61B5/103

Abstract: Systems and methods are disclosed herein for determining a diagnosis based on a base skin tone of a patient. In an embodiment, the system receives a base skin tone image of a patient, generates a calibrated base skin tone image by calibrating the base skin tone image using a reference calibration profile, and determines a base skin tone of the patient based on the calibrated base skin tone image. The system receives a concern image of a portion of the patient's skin, and selects a set of machine learning diagnostic models from a plurality of sets of candidate machine learning diagnostic models based on the base skin tone of the patient, each of the sets of candidate machine learning diagnostic models trained to receive the concern image and output a diagnosis of a condition of the patient.

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.

公开(公告)号：US20210290055A1

公开(公告)日：2021-09-23

申请号：US17202191

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: A61B3/14 ,  A61B3/00

Abstract: Systems and methods are disclosed herein for adjusting flash intensity based on retinal pigmentation. In an embodiment, a processor determines a retinal pigmentation of a retina of an eye positioned at an imaging device. The processor commands the imaging device to adjust an intensity of a flash component from a first intensity to a second intensity based on the retinal pigmentation. The processor commands the imaging device to capture an image that is lit by the flash component at the second intensity, and receives the image from the imaging device.

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.

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：US20240296956A1

公开(公告)日：2024-09-05

申请号：US18662798

申请日：2024-05-13

Applicant: Digital Diagnostics Inc.

Inventor： Elliot Swart ,  Elektra Efstratiou Alivisatos ,  Joseph Ferrante ,  Elizabeth Asai

IPC: G16H50/20 ,  A61B5/00 ,  A61B5/103 ,  G06T7/00 ,  G06T7/90 ,  G06V10/56 ,  G06V10/72 ,  G06V10/764 ,  G06V40/10

CPC classification number: G16H50/20 ,  A61B5/1032 ,  A61B5/441 ,  A61B5/7267 ,  A61B5/7275 ,  G06T7/0014 ,  G06T7/90 ,  G06V10/56 ,  G06V10/72 ,  G06V10/764 ,  G06V40/10 ,  A61B2576/02 ,  G06T2207/10024 ,  G06T2207/20076 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30088 ,  G06T2207/30168 ,  G06V2201/03

Abstract: Systems and methods are disclosed herein for determining a diagnosis based on a base skin tone of a patient. In an embodiment, the system receives a base skin tone image of a patient, generates a calibrated base skin tone image by calibrating the base skin tone image using a reference calibration profile, and determines a base skin tone of the patient based on the calibrated base skin tone image. The system receives a concern image of a portion of the patient's skin, and selects a set of machine learning diagnostic models from a plurality of sets of candidate machine learning diagnostic models based on the base skin tone of the patient, each of the sets of candidate machine learning diagnostic models trained to receive the concern image and output a diagnosis of a condition of the patient.

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.