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. 27, 2024

Filed:

May. 04, 2018
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Katherine Chou, Palo Alto, CA (US);

Michael Dwight Howell, Palo Alto, CA (US);

Kasumi Widner, San Carlos, CA (US);

Ryan Rifkin, Oakland, CA (US);

Henry George Wei, Larchmont, NY (US);

Daniel Ellis, New York, NY (US);

Alvin Rajkomar, Mountain View, CA (US);

Aren Jansen, Palo Alto, CA (US);

David Michael Parish, Buffalo, NY (US);

Michael Philip Brenner, Somerville, MA (US);

Assignee:

GOOGLE LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/00 (2006.01); G06N 20/00 (2019.01); G10L 25/63 (2013.01); G10L 25/66 (2013.01);
U.S. Cl.
CPC ...
A61B 5/4803 (2013.01); A61B 5/7264 (2013.01); A61B 5/7275 (2013.01); G06N 20/00 (2019.01); G10L 25/63 (2013.01); G10L 25/66 (2013.01);
Abstract

The present disclosure provides systems and methods that generating health diagnostic information from an audio recording. A computing system can include a machine-learned health model comprising that includes a sound model trained to receive data descriptive of a patient audio recording and output sound description data. The computing system can include a diagnostic model trained to receive the sound description data and output a diagnostic score. The computing system can include at least one tangible, non-transitory computer-readable medium that stores instructions that, when executed, cause the processor to perform operations. The operations can include obtaining the patient audio recording; inputting data descriptive of the patient audio recording into the sound model; receiving, as an output of the sound model, the sound description data; inputting the sound description data into the diagnostic model; and receiving, as an output of the diagnostic model, the diagnostic score.


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