Abstract: The invention relates to the field of classifying, using an artificial intelligence, medical images showing a body portion. The invention provides a method for adapting to a specific user a model of an artificial intelligence for classifying images of a body portion, wherein the method is integrated in the user's everyday workflow in a manner that the execution of the method has no or nearly no impact on the user's everyday work. Therefore, user-specific data elements 24 are generated in an automated manner (step S2) during the user's work. A user-specific data element 24 comprises a medical image of the body portion to be classified and a classification 26 (also called label) approved or corrected by the user, wherein the image is taken by the user or a medical imaging system of the user during normal, everyday work.
Type:
Grant
Filed:
May 30, 2022
Date of Patent:
October 13, 2026
Assignee:
B-RAYZ AG
Inventors:
Alexander Philipp Ciritsis, Andreas Boss, Cristina Rossi