公开(公告)号：US20230290111A1

公开(公告)日：2023-09-14

申请号：US18179871

申请日：2023-03-07

申请人： PAIGE.AI, Inc.

发明人： Jeremy Daniel KUNZ ,  Danielle GORTON ,  Adam CASSON

IPC分类号： G06V10/70 ,  G06T7/00 ,  G06T5/20 ,  H04N5/265 ,  G16H30/20 ,  G16H30/40

CPC分类号： G06V10/70 ,  G06T5/20 ,  G06T7/0012 ,  G16H30/20 ,  G16H30/40 ,  H04N5/265 ,  G06T2207/30024

摘要： A computer-implemented method for processing electronic medical images, the method including receiving one or more digital medical images of at least one pathology specimen, the pathology specimen being associated with a patient and receiving one or more search criteria. One or more machine learning systems may be determined based on the one or more search criteria. The one or more machine learning systems may be output to a user, wherein outputting the one or more machine learning system includes applying the one or more machine learning systems to the one or more received medical images, and displaying the one or more digital medical images after the machine learning system performed analysis on the digital medical images. A selection from a user may be received, the selection corresponding to a first machine learning system from the one or more machine learning systems. The first machine learning system may be output.

公开(公告)号：US20240177838A1

公开(公告)日：2024-05-30

申请号：US18521903

申请日：2023-11-28

申请人： PAIGE.AI, Inc.

发明人： 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分类号： G16H30/40 ,  G06T7/00 ,  G06T7/11 ,  G06T9/00 ,  G06V10/764 ,  G16H30/20 ,  G16H50/20 ,  G16H50/70

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

摘要： 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.