公开(公告)号：US20240177838A1

公开(公告)日：2024-05-30

申请号：US18521903

申请日：2023-11-28

Applicant: PAIGE.AI, Inc.

Inventor： Siqi LIU ,  Eugene VORONTSOV ,  Alican BOZKURT ,  George SHAIKOVSKI ,  Michal ZELECHOWSKI ,  Adam CASSON ,  Jan BERNHARD ,  Sid SENTHILNATHAN ,  Matthew LEE ,  Ran GODRICH ,  Thomas FUCHS ,  Brandon ROTHROCK

IPC: G16H30/40 ,  G06T7/00 ,  G06T7/11 ,  G06T9/00 ,  G06V10/764 ,  G16H30/20 ,  G16H50/20 ,  G16H50/70

CPC classification number: G16H30/40 ,  G06T7/0012 ,  G06T7/11 ,  G06T9/00 ,  G06V10/764 ,  G16H30/20 ,  G16H50/20 ,  G16H50/70

Abstract: Systems and methods for processing digital medical images to infer metadata from those images are disclosed. In some aspects, digital medical images may be processed to infer metadata by receiving a plurality of digital medical images, receiving a prompt, the prompt being a request for a specific type of metadata to be inferred from the plurality of digital medical images, determining, using a trained foundation model, at least one feature descriptor from the plurality of digital medical images based on the prompt, and providing for output the at least one feature descriptor for each of the plurality of digital medical images.

公开(公告)号：US20230222653A1

公开(公告)日：2023-07-13

申请号：US18152305

申请日：2023-01-10

Applicant: PAIGE.AI, Inc.

Inventor： Ran GODRICH ,  Christopher KANAN ,  Siqi LIU

IPC: G06T7/00 ,  G16B20/00 ,  G16B40/00

CPC classification number: G06T7/0012 ,  G16B20/00 ,  G16B40/00 ,  G06T2207/20081 ,  G06T2207/10056

Abstract: A method for processing electronic images using uncertainty estimation may be used to determine whether to use an artificial intelligence (AI) assisted prediction. The method may include receiving one or more electronic images associated with a pathology specimen and providing the one or more electronic images to a machine learning model. The machine learning model may perform operations including determining a certainty level corresponding to a certainty that a predetermined AI system will provide an accurate prediction, determining whether the certainty level equals or exceeds a predetermined confidence threshold, and, upon determining that the certainty level does not equal or exceed a predetermined confidence threshold, determining to not use the predetermined AI system.