Abstract: An image quality control system is disclosed. The example system includes an artificial intelligence modeler to process image data and metadata from patient data to generate first feature(s) from the image data and to parse the metadata to identify study information. The example system includes a computer vision processor to identify second feature(s) in the image data. The example system includes a results evaluator to compare the first feature(s) and second feature(s) to generate a comparison and to evaluate the comparison, first feature(s), and second feature(s) with respect to the study information to generate an evaluation. The example system includes a quality controller to compare the evaluation to quality criterion(-ia) to produce an approval or rejection of the patient data, the approval to trigger release of the patient data and the rejection to deny release of the patient data.

Abstract: An image quality control system is disclosed. The example system includes an artificial intelligence modeler to process image data and metadata from patient data to generate first feature(s) from the image data and to parse the metadata to identify study information. The example system includes a computer vision processor to identify second feature(s) in the image data. The example system includes a results evaluator to compare the first feature(s) and second feature(s) to generate a comparison and to evaluate the comparison, first feature(s), and second feature(s) with respect to the study information to generate an evaluation. The example system includes a quality controller to compare the evaluation to quality criterion(-ia) to produce an approval or rejection of the patient data, the approval to trigger release of the patient data and the rejection to deny release of the patient data.