The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 25, 2026

Filed:

Sep. 30, 2022
Applicant:

GE Precision Healthcare Llc, Wauwatosa, WI (US);

Inventors:

Mohammad Khair, Whitefish Bay, WI (US);

Kalaivani Manickam, Solihull, GB;

Steven M. Falk, Baltimore, MD (US);

Nagapriya Kavoori Sethumadhavan, Bangalore, IN;

Rajendra Naik, Bangalore, IN;

Assignee:

GE Precision Healthcare LLC, Wauwatosa, WI (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
A61G 11/00 (2006.01); A61B 5/00 (2006.01); A61B 5/01 (2006.01); A61B 5/0205 (2006.01); A61B 5/024 (2006.01); A61B 5/0245 (2006.01); A61B 5/11 (2006.01); A61B 5/1455 (2006.01); A61M 21/00 (2006.01); A61M 21/02 (2006.01); G06T 7/73 (2017.01); G06T 17/20 (2006.01); G06V 10/82 (2022.01); G06V 40/16 (2022.01);
U.S. Cl.
CPC ...
A61G 11/00 (2013.01); A61B 5/0245 (2013.01); A61B 5/1116 (2013.01); A61B 5/4094 (2013.01); A61B 5/4815 (2013.01); A61B 5/4824 (2013.01); A61M 21/02 (2013.01); G06T 7/73 (2017.01); G06T 17/20 (2013.01); G06V 10/82 (2022.01); G06V 40/168 (2022.01); G06V 40/174 (2022.01); A61M 2021/0022 (2013.01); A61M 2021/0027 (2013.01); A61M 2021/005 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/10028 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30201 (2013.01);
Abstract

In one example, an infant care station can include a camera for capturing video data and a processor configured to execute instructions that can obtain the video data from the camera for a patient. The processor can also generate a point cloud based on the video data and train, using the point cloud as input, a first set of artificial intelligence instructions to detect one or more patient characteristics. Additionally, the processor can generate an output representing the one or more patient characteristics based on the first set of artificial intelligence instructions.


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