The State of AI in Diagnostic Imaging: Readiness, Resources and Risk Tolerance
Artificial intelligence (AI) is no longer a distant promise in healthcare — it’s here, reshaping diagnostic imaging and redefining what’s possible in modern medicine. From streamlining workflows to enhancing image quality and supporting clinical decisions, AI is poised to address some of the most pressing challenges in radiology, including rising imaging volumes and critical radiologist shortages. But while the potential is undeniable, the path to widespread adoption is complex, marked by financial, operational, and cultural hurdles.