It may be shocking to state that AI growth in medicine has stagnated, despite buzzing news appearing daily informing us of new releases, apps, and automated magic. The problem lies in the content being delivered. AI doing better than students at passing medical exams is not that surprising — it does a marvelous job analyzing highly structured multiple-choice questions. The real dilemma is that recent AI advancements have focused on office automation, solving problems electronic medical records introduced two decades ago, and delivering dubious cost savings.

But real productivity in medicine is measured by patient health outcomes — and from that perspective, many advancements fail to impress. Using fairytales and reality to separate hype from value, this year's AI in Medicine update focuses on what truly matters in the clinical space: care quality, patient safety, real-world evidence in drug development, proteomics, quantum computing, the economics of AI, and digital twins.

Presented by

Dr. Jacob Krive

Clinical Associate Professor of Biomedical Informatics

University of Illinois at Chicago