From Prediction to Participation

The Idea

Healthcare is asking increasingly sophisticated questions about artificial intelligence: can it predict disease? Improve diagnosis? Make clinicians more efficient? Identify risk earlier? Dr. Choudhuri believes another question deserves equal attention: can AI make the patient more capable?

Drawing on his experience as a practicing physician, researcher, inventor, and entrepreneur, he challenges audiences to expand the way we measure healthcare AI. Accuracy matters. Clinical utility matters. Efficiency matters. But so do comprehension, participation, and trust.

This keynote introduces a human-centered way of thinking about AI in medicine — one in which the ultimate measure of intelligence is not simply what a system knows, but whether that intelligence helps human beings understand, decide, and participate more meaningfully in their care.

Core Takeaways

• Why patient capability should become an explicit measure of healthcare AI
• The difference between predictive intelligence and participatory intelligence
• A framework for evaluating whether technology makes healthcare more understandable or simply more sophisticated

Best For

AI healthcare conferences, academic innovation summits, HIMSS, HLTH, Reuters Digital Health, health technology companies, digital-health investors.

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