Summary
ML/AI driven automated computer-aided diagnostic (CADx) tools are designed to detect, localize, classify and grade disease in medical images to augment human-expert decision-making, add efficiencies, and improve overall performance. However, reliability of the predictions depends significantly on several training data characteristics which include quality, imbalance between cases and controls, volume, variety, and the truth standard . The prediction performance and reliability also depend on the AI architecture and frameworks used, foundation models used for initial training, use of multimodal
