Artificial intelligence is rapidly acquiring a reputation as an unreliable, even dangerous, force in medicine and drug development. Hallucinations, opaque decision-making, and high-profile failures have fueled resistance to its adoption across health care systems. But this backlash reflects not an inherent flaw in AI itself, it reflects how we are choosing to use it.

The dominant mistake is conceptual. We are treating AI as a replacement for human reasoning rather than …

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Medical innovation is often framed as something that begins once a product is built, tested, funded, and approved. But anyone who has spent time in medicine or biomedical research knows that is the farthest thing from the truth. Innovation usually starts much earlier with a moment of frustration, a recurring inefficiency, or a quiet realization that something in patient care could work better.

What’s less clear is how we’re supposed to …

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