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公开(公告)号：US20250061712A1
公开(公告)日：2025-02-20
申请号：US18936893
申请日：2024-11-04
Applicant: Digital Diagnostics Inc.
Inventor： Joseph FERRANTE , Kelsey GROSS , Elliot SWART
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.
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公开(公告)号：US12171496B2
公开(公告)日：2024-12-24
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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23.发明授权公开(公告)号：US12014828B2
公开(公告)日：2024-06-18
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: G06T7/90 , A61B5/00 , A61B5/103 , G06T7/00 , G06V10/56 , G06V10/72 , G06V10/764 , G06V40/10 , G16H50/20
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.
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公开(公告)号：US11967413B2
公开(公告)日：2024-04-23
申请号：US18141785
申请日：2023-05-01
Applicant: Digital Diagnostics Inc.
Inventor： Michael D. Abramoff
CPC classification number: G16H30/20 , G06F16/2379 , G06F18/214 , G06N3/084 , G06V30/19147 , G06V30/19173 , G16H30/40 , G16H50/20 , G16H50/70
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.
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公开(公告)号：US20230389827A1
公开(公告)日：2023-12-07
申请号：US18236287
申请日：2023-08-21
Applicant: Digital Diagnostics Inc.
Inventor： Michael D. Abramoff , Ryan Amelon
CPC classification number: A61B5/121 , A61B5/7275 , A61B5/0066 , G16H10/60 , A61B5/4842 , 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.
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Patent Agency Ranking
公开(公告)号：US11676700B2
公开(公告)日：2023-06-13
申请号：US17237377
申请日：2021-04-22
Applicant: Digital Diagnostics Inc.
Inventor： Michael D. Abramoff
CPC classification number: G16H30/20 , G06F16/2379 , G06F18/214 , G06N3/084 , G06V30/19147 , G06V30/19173 , G16H30/40 , G16H50/20 , G16H50/70
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.
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公开(公告)号：US20220122734A1
公开(公告)日：2022-04-21
申请号：US17567135
申请日：2022-01-02
Applicant: Digital Diagnostics Inc.
Inventor： Joseph FERRANTE , Elliot SWART
Abstract: A diagnosis system trains a set of machine-learned diagnosis models that are configured to receive an image of a patient and generate predictions on whether the patient has one or more health conditions. In one embodiment, the set of machine-learned models are trained to generate predictions for images that contain two or more underlying health conditions of the patient. In one instance, the symptoms for the two or more health conditions are shown as two or more overlapping skin abnormalities on the patient. By using the architectures of the set of diagnosis models described herein, the diagnosis system can generate more accurate predictions for images that contain overlapping symptoms for two or more health conditions compared to existing systems.
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公开(公告)号：US20210295516A1
公开(公告)日：2021-09-23
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
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.
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公开(公告)号：US20200329963A1
公开(公告)日：2020-10-22
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
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.
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公开(公告)号：US12205722B2
公开(公告)日：2025-01-21
申请号：US17623533
申请日：2020-06-30
Applicant: Digital Diagnostics Inc.
Inventor： Joseph Ferrante , Elliot Swart
Abstract: A diagnosis system trains a set of machine-learned diagnosis models that are configured to receive an image of a patient and generate predictions on whether the patient has one or more health conditions. In one embodiment, the set of machine-learned models are trained to generate predictions for images that contain two or more underlying health conditions of the patient. In one instance, the symptoms for the two or more health conditions are shown as two or more overlapping skin abnormalities on the patient. By using the architectures of the set of diagnosis models described herein, the diagnosis system can generate more accurate predictions for images that contain overlapping symptoms for two or more health conditions compared to existing systems.
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