Dr. Friedman is a physician turned product manager with 20+ years building enterprise software and leading digital transformation. He writes about the intersection of technology, human behavior, and healthcare, where solutions directly impact lives.
In healthcare AI we focus on algorithms, models, accuracy. The quieter question: whose data can the AI actually see? The answer has less to do with the model and more to do with how you receive care. Your insurance type may determine whether your care is AI-ready at all.
I ran a full design thinking workshop on a Sunday afternoon, no flights, no sticky notes, just nine AI agents configured to disagree. For under $10, they reframed the problem entirely.
AI isn’t just augmenting expertise, it may be eroding it. From physicians to developers, evidence shows short-term gains can come at the cost of long-term competence. The real risk isn’t dependency, it’s losing the ability to function without AI.
AI won’t replace physicians, but it will redefine them. As knowledge shifts from memory to machine, the xPhysician emerges: an AI-augmented generalist who combines deep expertise with end-to-end ownership, reshaping how medicine is practiced and learned.
The FDA’s January 2026 CDS guidance isn’t deregulation, it’s smart, risk-based clarity. AI tools that support physician judgment without black-box automation can move faster. High-risk diagnostic systems remain regulated. That’s not stepping back, it’s focusing oversight where it truly matters.
“AI in healthcare” is no longer a category, it’s a confusion. We treat mature, low-risk systems the same as experimental, high-risk ones. The real issue isn’t AI itself, it’s matching governance to actual risk and use.
At 11pm, patients don’t need a model. They need an answer. AI is already filling that gap, not because it’s better, but because it’s there. The risk isn’t just accuracy. It’s a new layer of care with no training, no accountability, and no clinician in the loop.
Medical information used to be hard to find. Then easy to find. Now it finds you. At each step we celebrated the progress. We are still figuring out what we lost.
In the 1990s, non-Jewish friend of mine wrote clinical notes for observant physicians who could not work on the Sabbath. Today, ambient AI does the same job. Who owns what the scribe writes?
Thirty years ago, in a small room at the Hebrew University School of Pharmacy in Jerusalem, a group of graduate students was simulating protein structures on Silicon Graphics workstations, the same machines Hollywood used for visual effects.
In 2018, the FDA cleared an AI to diagnose disease without a physician in the loop. A nurse captures two retinal images, the system delivers a clinical decision, and the company, not the clinic, carries the liability. That was seven years ago. The future we keep debating is already here.
In 2013, the FDA approved a machine that could sedate patients without an anesthesiologist. By 2016, it was dead. No safety scandal. No patient harm. It simply failed to sell.