-
Patent Agency Ranking
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.
-
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.
-
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.
-
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.
-
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.
-
-
-
-
Search Results
5
records
(took 0.012 seconds)
