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公开(公告)号：US12070323B2
公开(公告)日：2024-08-27
申请号：US17045318
申请日：2018-05-04
Applicant: Google LLC
Inventor： Katherine Chou , Michael Dwight Howell , Kasumi Widner , Ryan Rifkin , Henry George Wei , Daniel Ellis , Alvin Rajkomar , Aren Jansen , David Michael Parish , Michael Philip Brenner
CPC classification number: A61B5/4803 , A61B5/7264 , A61B5/7275 , G06N20/00 , G10L25/63 , G10L25/66
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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公开(公告)号：US20210361227A1
公开(公告)日：2021-11-25
申请号：US17045318
申请日：2018-05-04
Applicant: Google LLC
Inventor： Katherine Chou , Michael Dwight Howell , Kasumi Widner , Ryan Rifkin , Henry George Wei , Daniel Ellis , Alvin Rajkomar , Aren Jansen , David Michael Parish , Michael Philip Brenner
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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公开(公告)号：US20240366148A1
公开(公告)日：2024-11-07
申请号：US18773046
申请日：2024-07-15
Applicant: Google LLC
Inventor： Katherine Chou , Michael Dwight Howell , Kasumi Widner , Ryan Rifkin , Henry George Wei , Daniel Ellis , Alvin Rajkomar , Aren Jansen , David Michael Parish , Michael Philip Brenner
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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