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公开(公告)号：US20240122475A1
公开(公告)日：2024-04-18
申请号：US18391406
申请日：2023-12-20
Applicant: Digital Diagnostics Inc.
Inventor： Michael D. Abramoff , Eric Talmage , Ben Clark , Edward DeHoog , Timothy Chung
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.
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公开(公告)号：US20230419485A1
公开(公告)日：2023-12-28
申请号：US18367384
申请日：2023-09-12
Applicant: Digital Diagnostics Inc.
Inventor： Meindert Niemeijer , Ryan Amelon , Warren Clarida , Michael D. Abramoff
CPC classification number: G06T7/0012 , G06N3/08 , G06V10/454 , G06F18/2148 , G06N3/045 , G06V10/82 , G06T2207/20084 , G06T2207/20081 , G06T2207/30041
Abstract: Provide are systems methods and devices for diagnosing disease in medical images. In certain aspects, disclosed is a method for training a neural network to detect features in a retinal image including the steps of: a) extracting one or more features images from a Train_0 set, a Test_0 set, a Train_1 set and a Test_1 set; b) combining and randomizing the feature images from Train_0 and Train_1 into a Training data set; c) combining and randomizing the feature images from Test_0 and Test_1 into a testing dataset; d) training a plurality of neural networks having different architectures using a subset of the training dataset while testing on a subset of the testing dataset; e) identifying the best neural network based on each of the plurality of neural networks performance on the testing data set; f) inputting images from Test_0, Train_1, Train_0 and Test_1 to the best neural network and identifying a limited number of false positives and false negative and adding the false positives and false negatives to the training dataset and testing dataset; and g) repeating steps d)-g) until an objective performance threshold is reached.
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公开(公告)号：US11786148B2
公开(公告)日：2023-10-17
申请号：US16529685
申请日：2019-08-01
Applicant: Digital Diagnostics Inc.
Inventor： Michael D. Abramoff , Ryan Amelon
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.
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公开(公告)号：US20220367049A1
公开(公告)日：2022-11-17
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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公开(公告)号：US12288608B2
公开(公告)日：2025-04-29
申请号：US18615630
申请日：2024-03-25
Applicant: Digital Diagnostics Inc.
Inventor： Michael D. Abramoff
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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Patent Agency Ranking
公开(公告)号：US20250104872A1
公开(公告)日：2025-03-27
申请号：US18976114
申请日：2024-12-10
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：US20250072752A1
公开(公告)日：2025-03-06
申请号：US18948328
申请日：2024-11-14
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：US20240233916A1
公开(公告)日：2024-07-11
申请号：US18615630
申请日：2024-03-25
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：US20230268056A1
公开(公告)日：2023-08-24
申请号：US18141785
申请日：2023-05-01
Applicant: Digital Diagnostics Inc.
Inventor： Michael D. Abramoff
CPC classification number: G16H30/20 , G16H50/20 , G06F16/2379 , G06N3/084 , G16H30/40 , G16H50/70 , G06F18/214 , G06V30/19147 , G06V30/19173
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：US20230190182A1
公开(公告)日：2023-06-22
申请号：US18083247
申请日：2022-12-16
Applicant: Digital Diagnostics Inc.
Inventor： Michael D. Abramoff
CPC classification number: A61B5/4547 , G06T7/0016 , G06T2207/10024 , G06T2207/10101 , G06T2207/20081 , G06T2207/30036
Abstract: A device is disclosed for diagnosing a dental condition. The device captures image data representative of a tooth of a patient based on data obtained from a hardware device that scans the tooth. The device inputs the image data into a first supervised machine learning model, and receives, as output from the first supervised machine learning model, a plurality of biomarkers, each biomarker corresponding to a different location of the tooth. The device inputs the plurality of biomarkers into a second supervised machine learning model, and receives, as output from the second supervised machine learning model, a diagnosis of a dental condition.
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