Diagnostic Errors and Patient Safety: How AI is Revolutionizing Radiology
In the high-stakes world of radiology, every interpretation carries immense responsibility. With 3.1 billion diagnostic imaging studies performed worldwide each year, and chest X-rays accounting for 40% of that staggering volume, the pressure on radiologists is unrelenting. Yet despite decades of experience and technological advancement, diagnostic errors persist at 3–5% across all studies, translating to approximately 40 million missed or delayed diagnoses annually. These aren’t the result of incompetence or negligence, instead, 84% of these errors are perception failures, where abnormalities were objectively visible but simply overlooked by even the most skilled eyes.