Medical Imaging AI Safety: Why Diagnostic Accuracy Is Not Enough
Edited by ScholarGen AIHealthcareInsight Team How Artificial Intelligence Is Transforming Radiology—and Why Clinical Trust Requires More Than High Accuracy Artificial intelligence is already changing medical imaging. Across computed tomography (CT), magnetic resonance imaging (MRI), positron emission tomography (PET), mammography, ultrasound, and radiography, AI systems are increasingly being developed and deployed to detect abnormalities, segment anatomy, classify findings, quantify disease burden, prioritize examinations, reconstruct images, and support clinical decision-making. The transformation is no longer theoretical. The more important question is now: Can medical imaging AI be trusted when it becomes part of real clinical care? That question cannot be answered simply by asking whether an algorithm has high accuracy, sensitivity, specificity, or area under the receiver operating characteristic curve. In medicine, an AI output is not the endpoint. It become...