公开(公告)号：US20230169652A1

公开(公告)日：2023-06-01

申请号：US18011888

申请日：2022-05-12

Applicant: Google LLC

Inventor： Sahar Kazemzadeh ,  Dong Jin Yu ,  Shahar Jamshy ,  Rory Pilgrim ,  Zaid Isam Nabulsi ,  Andrew Beckmann Sellergren ,  Yun Liu ,  Shruthi Prabhakara ,  Atilla Peter Kiraly

IPC: G06T7/00 ,  G06N3/0464 ,  G06N3/084 ,  G16H10/60 ,  G16H30/40 ,  G16H50/20 ,  G16H50/30 ,  G06T7/11 ,  A61B6/00

CPC classification number: G06T7/0012 ,  G06N3/0464 ,  G06N3/084 ,  G16H10/60 ,  G16H30/40 ,  G16H50/20 ,  G16H50/30 ,  G06T7/11 ,  A61B6/50 ,  G06T2207/10116 ,  G06T2207/30061 ,  G06T2207/20081 ,  G06T2207/20084

Abstract: Systems and methods for chest condition determination can leverage one or more machine-learned models to process radiograph data to determine risk data (e.g., a preliminary diagnosis). For example, systems and methods can utilize a pathology model to process a chest x-ray to generate a tuberculosis diagnosis. The one or more machine-learned models can segment the lungs, can detect features in the data, and can pool the segmentation and located features to determine the diagnosis.