In this ERROR 404 episode, we explore the history, promises, and real-world challenges of artificial intelligence in medical imaging. From early rule-based computer-aided detection systems in the 1980s to the deep learning revolution triggered by AlexNet and ImageNet, we trace how AI evolved into a powerful diagnostic tool. We examine landmark FDA clearances, such as Viz.ai and IDx-DR, alongside real-world implementation hurdles including model drift, dataset bias, automation bias, and regulatory gaps. Finally, we look at large-scale prospective clinical evidence—such as the PRAI trial—showing how AI acts as an efficiency amplifier and co-pilot rather than a human replacement.

Credits: Production: Medshake Studio

Host: Anca Petre

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