AI system for generating multiple labels based on a medical scan and methods for use therewith

A global multi-label generating system, comprising:

• at least one processor;
• and
• a memory that stores operational instructions that, when executed by the at least one processor, cause the global multi-label generating system to:
• generate a computer vision model by training on a plurality of medical scans and a plurality of labels corresponding to the plurality of medical scans, wherein each of the plurality of labels correspond to one of a set of abnormality classes;
• generate global probability data based on utilizing the computer vision model on a new medical scan, wherein the global probability data indicates a set of global probability values corresponding to the set of abnormality classes, and wherein each of the set of global probability values indicates a probability that a corresponding one of the set of abnormality classes is present in the new medical scan;
• determine a subset of the set of abnormality classes are present in the new medical scan in response to a corresponding subset of the set of global probability values comparing favorably to a corresponding set of probability thresholds;
• and
• transmit, via a transmitter, abnormality data that indicates the subset of the set of abnormality classes to a client device for display via a display device.