Every March, thousands of medical students gather for Match Day — the moment they learn which residency programs will define the next phase of their careers. This year, as I prepare to watch our students open their envelopes, I feel confident. Not because the profession they’re entering is stable. It isn’t. The landscape is shifting faster than at any point in my four decades in academic medicine. But because we’ve prepared them for exactly that.

AI-assisted diagnostics are moving from experimental to standard practice. Federal health policy is being restructured in real time. The very definition of what it means to be a physician is being rewritten. When students commit to a specialty on Match Day, they’re making a decision that will shape 30 to 40 years of their careers. How do you train someone for a world you can’t fully predict?

The answer isn’t to abandon medical education. It’s to fundamentally rethink what medical schools owe their students. A medical education’s enduring value lies not in transmitting static knowledge, but in forging practitioners capable of adapting to rapid, continuous change. The question isn’t whether to pursue a medical degree. It’s what kind of medical education prepares you for what’s coming.

The disruptions reshaping healthcare and medicine are not temporary. They are the new baseline. AI is already outperforming human radiologists in detecting certain cancers. Medical schools that treat this as business-as-usual are failing their students. Preparing physicians for a static world when the actual world is in constant flux is educational malpractice.

How should we pursue medical education amid chaos?

So, what should modern medical education prioritize?

First, resilience and adaptability over rote preparation. The most important thing a medical school can give a student isn’t a roadmap. It’s the capacity to navigate when the map changes. This means building flexibility and psychological resilience directly into the curriculum, not as an afterthought but as a core competency. Students should graduate expecting disruption, not fearing it. They should have experience working in ambiguous environments where the “right” answer isn’t always clear, where guidelines conflict, where emerging evidence challenges established practice. Because that’s the reality of 21st-century medicine.

Second, we must integrate AI honestly and not avoid it. Medical schools must actively train students in AI-assisted diagnosis, simulation-based learning, and the ethical dimensions of algorithmic decision-making. At Touro, we’ve woven AI literacy throughout clinical training. Students learn to interpret AI-generated diagnostic suggestions and grapple with the ethical questions: When does reliance on AI become abdication of responsibility? How do you explain an algorithmic recommendation to a patient? These aren’t abstract debates. They’re the questions our graduates will face in their first year of practice.

Third, students deserve specialty-level awareness of emerging risk. Not every field faces the same exposure. Diagnostic radiology confronts more immediate pressure from AI than many other specialties. According to a NIH editorial on emerging technologies, imaging interpretation is one area where machine learning has demonstrated the most rapid clinical integration. Does that mean students should abandon radiology? Of course not. But they deserve faculty who can walk them through specialty-specific data so their choices are informed, not naive.

This approach reflects a deeper educational philosophy. The best medical education has always been about raising questions, not just delivering answers. At our school, this connects to a longstanding intellectual tradition: the Jewish emphasis on constant questioning, rigorous debate, openness to new ideas, and ethical accountability. We don’t teach our students to accept authority or knowledge uncritically. We teach them to interrogate it respectfully, rigorously, and relentlessly using scientific principles not politics or bias.

To be sure, there are limits to what any medical school can predict. We don’t know exactly which specialties will be most affected by AI in the next five to ten years. But uncertainty isn’t the same as helplessness. Medical schools can cultivate intellectual flexibility, ethical grounding, and instill the confidence to question received wisdom. Those capacities will serve our students regardless of how the profession changes.

When I think back to Match Day, to those students opening their envelopes with excitement and trepidation, I think about what we owe them. They’re not stepping into a stable profession. They know that. What a great medical education gives them is not certainty, but capability.

The physician of the future won’t be replaced by AI or upended by policy shifts. They’ll be the person who knows how to work within, around, and ahead of them. That’s the kind of physician the future demands.

Dr. Alan Kadish, M.D., a resident of Teaneck, New Jersey, is president of Touro University and Touro’s New York Medical College

© The Leader