Artifact detection via a medical scan quality assurance system

A method for execution by a medical scan quality assurance system, comprising:

• utilizing artificial intelligence to train at least one computer vision model based on a training set of medical scans;
• receiving a set of medical scans;
• utilizing artificial intelligence to generate quality assurance data for the set of medical scans by performing at least one quality assurance function on the set of medical scans by utilizing the at least one computer vision model;
• identifying a first medical scan in the set of medical scans that includes an artifact, detected by performing the at least one quality assurance function, that is determined to obscure at least a threshold percentage of a key anatomical part based on the quality assurance data;
• and
• generating an artifact obstruction notification indicating the first medical scan for transmission to a client device for display.

A medical scan quality assurance system, comprising:

• at least one processor;
• and
• a memory that stores operational instructions that, when executed by the at least one processor, cause the medical scan quality assurance system to:
• utilize artificial intelligence to train at least one computer vision model based on a training set of medical scans;
• determine a set of medical scans;
• utilize artificial intelligence to generate quality assurance data for the set of medical scans by performing at least one quality assurance function on the set of medical scans by utilizing the at least one computer vision model;
• identify a first medical scan in the set of medical scans that includes an artifact, detected by performing the at least one quality assurance function, that is determined to obscure at least a threshold percentage of a key anatomical part based on the quality assurance data;
• and
• generate an artifact obstruction notification indicating the first medical scan for display via a client device.