公开(公告)号：US20220358761A1

公开(公告)日：2022-11-10

申请号：US17621570

申请日：2020-06-26

Applicant: Digital Diagnostics Inc.

Inventor： Joseph FERRANTE ,  Kelsey GROSS ,  Elliot SWART

IPC: G06V20/40 ,  G06V10/764 ,  G06T7/70 ,  A61L2/24 ,  A61L2/28 ,  G16H40/20 ,  G16H40/67

Abstract: A cleaning wizard monitors and provides feedback for cleaning of medical equipment to ensure that cleaning is performed based on best practices. The cleaning wizard receives a video stream comprising an item of medical equipment and inputs a first set of video frames from the video stream into a first machine learning model. The first machine learning model is trained to output whether the first set of video frames corresponds to activity that initiates a cleaning protocol for the item of medical equipment. Responsive to the cleaning protocol being initiated, the cleaning wizard inputs a second set of video frames into a second machine learning model trained to output whether the second set of frames meets criteria of the cleaning protocol. Responsive to all criteria of the cleaning protocol being met, the cleaning wizard transmits a notification to an operator that the cleaning protocol is complete.

公开(公告)号：US11004565B2

公开(公告)日：2021-05-11

申请号：US16362174

申请日：2019-03-22

Applicant: Digital Diagnostics Inc.

Inventor： Michael D. Abramoff

IPC: G06K9/62 ,  G16H50/20 ,  G06F16/23 ,  G06N3/08 ,  G16H30/40 ,  G16H50/70 ,  G06K9/66

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.

公开(公告)号：US20240237895A1

公开(公告)日：2024-07-18

申请号：US18622593

申请日：2024-03-29

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 ,  A61B3/12

CPC classification number: A61B3/14 ,  A61B3/0008 ,  A61B3/0025 ,  A61B3/12

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：US20240095924A1

公开(公告)日：2024-03-21

申请号：US18522961

申请日：2023-11-29

Applicant: Digital Diagnostics Inc.

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

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

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：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：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.