The Room That Runs Itself
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.
The AI Paradox: How Artificial Intelligence Is Eroding Human Skills Across Professions
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.
The xPhysician: Reimagining Medical Practice in the AI Era
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.
Understanding FDA's 2026 Clinical Decision Support Guidance: It's Not Deregulation
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.
The Healthcare AI Spectrum: What's New, What's Not, and What We Can Learn From Other Industries
“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.
The Voice
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.
The Search
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.
The Scribe
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?
The Architect
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.
The Microscope
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.
The Autopilot
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.
The Second Ear
When was the last time you trusted a machine with a life-or-death decision? If you’ve ever had an ECG, the answer is: already. Since 1982, ECG machines have printed automated interpretations, computers reading your heart and offering a clinical opinion long before we called it AI.