公开(公告)号：US12040080B2

公开(公告)日：2024-07-16

申请号：US17620445

申请日：2020-09-11

Applicant: Google LLC

Inventor： Robert Carter Dunn ,  Ayush Jain ,  Peggy Yen Phuong Bui ,  Clara Eng ,  David Henry Way ,  Kang Li ,  Vishakha Gupta ,  Jessica Gallegos ,  Dennis Ai ,  Yun Liu ,  David Coz ,  Yuan Liu

IPC: G16H30/40 ,  G16H10/60 ,  G16H50/20

CPC classification number: G16H30/40 ,  G16H10/60 ,  G16H50/20

Abstract: The present disclosure is directed to a deep learning system for differential diagnoses of skin diseases. In particular, the system performs a method that can include obtaining a plurality of images that respectively depict a portion of a patient's skin. The method can include determining, using a machine-learned skin condition classification model, a plurality of embeddings respectively for the plurality of images. The method can include combining the plurality of embeddings to obtain a unified representation associated with the portion of the patient's skin. The method can include determining, using the machine-learned skin condition classification model, a skin condition classification for the portion of the patients skin, the skin condition classification produced by the machine-learned skin condition classification model by processing the unified representation, wherein the skin condition classification identifies one or more skin conditions selected from a plurality of potential skin conditions.

公开(公告)号：US11972362B2

公开(公告)日：2024-04-30

申请号：US16839712

申请日：2020-04-03

Applicant: Google LLC

Inventor： Oren Naim ,  Tomer Amarilio ,  Dennis Ai

IPC: G06N5/04 ,  G06Q30/02

CPC classification number: G06N5/04 ,  G06Q30/02

Abstract: In one example, a method includes receiving, by a computing system, context information associated with a computing device; inferring, by the computing system and based on the context information, an action of a user of the computing device, the action associated with at least one entity; determining, by the computing system and based on stored attribute information associated with the at least one entity, and based on a stored set of rules associated with the inferred action, that the inferred action is not advisable; and responsive to determining that the inferred action is not advisable, outputting, by the computing system and for display on the computing device, notification data indicating that the inferred action is not advisable.

公开(公告)号：US20200234160A1

公开(公告)日：2020-07-23

申请号：US16839712

申请日：2020-04-03

Applicant: Google LLC

Inventor： Oren Naim ,  Tomer Amarilio ,  Dennis Ai

IPC: G06N5/04 ,  G06Q30/02

Abstract: In one example, a method includes receiving, by a computing system, context information associated with a computing device; inferring, by the computing system and based on the context information, an action of a user of the computing device, the action associated with at least one entity; determining, by the computing system and based on stored attribute information associated with the at least one entity, and based on a stored set of rules associated with the inferred action, that the inferred action is not advisable; and responsive to determining that the inferred action is not advisable, outputting, by the computing system and for display on the computing device, notification data indicating that the inferred action is not advisable.

公开(公告)号：US20240202553A1

公开(公告)日：2024-06-20

申请号：US18590575

申请日：2024-02-28

Applicant: GOOGLE LLC

Inventor： Oren Naim ,  Tomer Amarilio ,  Dennis Ai

IPC: G06N5/04 ,  G06Q30/02

CPC classification number: G06N5/04 ,  G06Q30/02

Abstract: In one example, a method includes receiving, by a computing system, context information associated with a computing device; inferring, by the computing system and based on the context information, an action of a user of the computing device, the action associated with at least one entity; determining, by the computing system and based on stored attribute information associated with the at least one entity, and based on a stored set of rules associated with the inferred action, that the inferred action is not advisable; and responsive to determining that the inferred action is not advisable, outputting, by the computing system and for display on the computing device, notification data indicating that the inferred action is not advisable.

公开(公告)号：US20220359062A1

公开(公告)日：2022-11-10

申请号：US17620445

申请日：2020-09-11

Applicant: Google LLC

Inventor： Robert Carter Dunn ,  Ayush Jain ,  Peggy Yen Phuong Bui ,  Clara Eng ,  David Henry Way ,  Kang Li ,  Vishakha Gupta ,  Jessica Gallegos ,  Dennis Ai ,  Yun Liu ,  David Coz ,  Yuan Liu

IPC: G16H30/40 ,  G16H50/20 ,  G16H10/60

Abstract: The present disclosure is directed to a deep learning system for differential diagnoses of skin diseases. In particular, the system performs a method that can include obtaining a plurality of images that respectively depict a portion of a patient's skin. The method can include determining, using a machine-learned skin condition classification model, a plurality of embeddings respectively for the plurality of images. The method can include combining the plurality of embeddings to obtain a unified representation associated with the portion of the patient's skin. The method can include determining, using the machine-learned skin condition classification model, a skin condition classification for the portion of the patients skin, the skin condition classification produced by the machine-learned skin condition classification model by processing the unified representation, wherein the skin condition classification identifies one or more skin conditions selected from a plurality of potential skin conditions.