Clear thinking for healthcare AI in real clinical settings

Health Singularity, Medical School, and Why I’d Still Send My Kids

I used to think the safest bet for a bright kid was to hedge away from medicine if AI kept accelerating. Now I think the opposite is closer to true, because medicine trains durable reasoning, judgment, endurance, and the discipline to work with uncertainty, while the next generation of doctors will also need to be competent AI supervisors.

The quiet split in FDA AI approvals: why classical models keep winning while generative AI stays out of cleared medical devices

FDA-cleared AI in medicine is still dominated by classical machine learning, especially in radiology, while generative AI remains largely outside the cleared clinical device ecosystem. That gap says a lot about validation, risk, and what hospitals can safely deploy in 2026.

The singularity cannot be scheduled: what medicine should do before the curve bends

A physician-executive case for planning hospitals around uncertainty, not prophecy, as AI capability advances faster than our institutional imagination. The useful work is governance, scenario planning, and clinical safeguards, not pretending we can forecast the exact shape of the next five years.