公开(公告)号：US20220354466A1

公开(公告)日：2022-11-10

申请号：US17763120

申请日：2020-07-08

Applicant: Google LLC

Inventor： Ryan Gomes ,  Shravya Shetty ,  Daniel Tse ,  Chace Lee ,  Alex Starns

IPC: A61B8/08 ,  G06T7/00 ,  A61B8/00

Abstract: A system is described for generating diagnostic information from a video sequence of ultrasound images acquired in “blind sweeps”, i.e., without operator seeing ultrasound images as they are acquired. We disclose two different types of machine learning systems for predicting diagnostic information: a “Temporal Accumulation” system and a “3-D Modeling Component” system. These machine learning systems could be implemented in several possible ways: using just one or the other of them in any given implementation, or using both of them in combination. We also disclose a computing system which implements (a) an image selection system including at least one machine learning model trained to identify clinically suitable images from the sequence of ultrasound images and (b) an image diagnosis/measurement system including of one or more machine learning models, configured to obtain the clinically suitable images identified by the image selection system and further process such images to predict health states.