Abstract: Systems, methods, and storage media for automatically identifying medical conditions based on images and other data using machine learning methods and algorithms that encode expert knowledge of medical conditions. The systems, methods, and storage media may also leverage infrastructure that facilitates the collection, storage, labeling, dynamic organization, and expert review of existing and incoming data.
Type:
Application
Filed:
January 16, 2024
Publication date:
May 9, 2024
Applicant:
Triage Technologies Inc.
Inventors:
Abdellatif ABID, Albert Jimenez SANFIZ, Adria ROMERO LOPEZ, Eric T. JARMAIN, Mohamed AKROUT, Anirudh CHALLA, Jeremy G. KAWAHARA, Stephen A. SOLIS-REYES
Abstract: Systems, methods, and storage media for automatically identifying skin conditions based on images and other data using machine learning methods and algorithms that encode expert knowledge of skin conditions. The systems, methods, and storage media may also leverage infrastructure that facilitates the collection, storage, labeling, dynamic organization, and expert review of existing and incoming data.
Type:
Grant
Filed:
December 15, 2020
Date of Patent:
April 30, 2024
Assignee:
Triage Technologies Inc.
Inventors:
Abdellatif Abid, Albert Jimenez Sanfiz, Adria Romero Lopez, Eric T. Jarmain, Mohamed Akrout, Anirudh Challa, Jeremy G. Kawahara, Stephen A. Solis-Reyes
Abstract: Systems, methods, and storage media for automatically identifying medical conditions based on images and other data using machine learning methods and algorithms that encode expert knowledge of medical conditions. The systems, methods, and storage media may also leverage infrastructure that facilitates the collection, storage, labeling, dynamic organization, and expert review of existing and incoming data.
Type:
Grant
Filed:
September 7, 2021
Date of Patent:
April 2, 2024
Assignee:
Triage Technologies Inc.
Inventors:
Abdellatif Abid, Albert Jimenez Sanfiz, Adria Romero Lopez, Eric T. Jarmain, Mohamed Akrout, Anirudh Challa, Jeremy G. Kawahara, Stephen A. Solis-Reyes
Abstract: Systems, methods, and storage media for automatically identifying medical conditions based on images and other data using machine learning methods and algorithms that encode expert knowledge of medical conditions. The systems, methods, and storage media may also leverage infrastructure that facilitates the collection, storage, labeling, dynamic organization, and expert review of existing and incoming data.
Type:
Application
Filed:
September 7, 2021
Publication date:
December 30, 2021
Applicant:
Triage Technologies Inc.
Inventors:
Abdellatif ABID, Albert Jimenez SANFIZ, Adria ROMERO LOPEZ, Eric T. JARMAIN, Mohamed AKROUT, Anirudh CHALLA, Jeremy G. KAWAHARA, Stephen A. SOLIS-REYES
Abstract: Systems, methods, and storage media for automatically identifying skin conditions based on images and other data using machine learning methods and algorithms that encode expert knowledge of skin conditions. The systems, methods, and storage media may also leverage infrastructure that facilitates the collection, storage, labeling, dynamic organization, and expert review of existing and incoming data.
Type:
Application
Filed:
December 15, 2020
Publication date:
May 6, 2021
Applicant:
Triage Technologies Inc.
Inventors:
Abdellatif ABID, Albert Jimenez SANFIZ, Adria ROMERO LOPEZ, Eric T. JARMAIN, Mohamed AKROUT, Anirudh CHALLA, Jeremy G. KAWAHARA, Stephen A. SOLIS-REYES
Abstract: Systems, methods, and storage media for automatically identifying skin conditions based on images and other data using machine learning methods and algorithms that encode expert knowledge of skin conditions. The systems, methods, and storage media may also leverage infrastructure that facilitates the collection, storage, labeling, dynamic organization, and expert review of existing and incoming data.
Type:
Grant
Filed:
May 21, 2020
Date of Patent:
December 29, 2020
Assignee:
Triage Technologies Inc.
Inventors:
Abdellatif Abid, Albert Jimenez Sanfiz, Adria Romero Lopez, Eric T. Jarmain, Mohamed Akrout, Anirudh Challa, Jeremy G. Kawahara, Stephen A. Solis-Reyes