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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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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
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：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
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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