公开(公告)号：US20210202090A1

公开(公告)日：2021-07-01

申请号：US16949370

申请日：2020-10-27

Applicant: TELADOC HEALTH, INC.

Inventor： John O'Donovan ,  Pushkar Shukla ,  Paul C. McElroy ,  Sushil Bharati ,  Marco Pinter

IPC: G16H50/20 ,  G16H50/30 ,  G16H40/67 ,  G16H15/00 ,  G06N3/08 ,  G10L15/26 ,  G10L15/22 ,  G10L25/66 ,  G06K9/00 ,  A61B5/00 ,  A61B5/11

Abstract: A system for automated health condition scoring includes at least one communication interface to receive an audio stream and a video stream from an endpoint in proximity to a patient, at least two different artificial intelligence (“Al”) detectors to respectively process one or both of the audio stream and the video stream using machine learning to automatically determine at least two respective likelihoods of the patient having a health condition, an Al scorer to combine the at least two respective likelihoods of the health condition using machine learning to automatically determine a health condition score representing an overall likelihood of the patient having the health condition, and a display interface that displays an indication of the health condition score to a physician.

公开(公告)号：US20240312476A1

公开(公告)日：2024-09-19

申请号：US18382228

申请日：2023-10-20

Applicant: TELADOC HEALTH, INC.

Inventor： John O'Donovan ,  Pushkar Shukla ,  Paul C. McElroy ,  Sushil Bharati ,  Marco Pinter

IPC: G10L25/66 ,  A61B5/00 ,  A61B5/11 ,  G06N3/044 ,  G06N3/08 ,  G06V10/764 ,  G06V20/40 ,  G06V40/16 ,  G06V40/20 ,  G10L15/22 ,  G10L15/26 ,  G16H10/60 ,  G16H15/00 ,  G16H40/67 ,  G16H50/20 ,  G16H50/30

CPC classification number: G10L25/66 ,  A61B5/1124 ,  A61B5/4064 ,  A61B5/4803 ,  A61B5/7267 ,  A61B5/7282 ,  G06N3/08 ,  G06V10/764 ,  G06V20/40 ,  G06V40/168 ,  G06V40/28 ,  G10L15/22 ,  G10L15/26 ,  G16H15/00 ,  G16H40/67 ,  G16H50/20 ,  G16H50/30 ,  G06N3/044 ,  G06V2201/03 ,  G16H10/60

Abstract: A system for automated health condition scoring includes at least one communication interface to receive an audio stream and a video stream from an endpoint in proximity to a patient, at least two different artificial intelligence (“AI”) detectors to respectively process one or both of the audio stream and the video stream using machine learning to automatically determine at least two respective likelihoods of the patient having a health condition, an AI scorer to combine the at least two respective likelihoods of the health condition using machine learning to automatically determine a health condition score representing an overall likelihood of the patient having the health condition, and a display interface that displays an indication of the health condition score to a physician.