Sharp, data-driven analysis of AI's transformation of healthcare. No hype. No vaporware. Just rigorous coverage of what's actually changing — across every specialty, every workflow, every stakeholder.
Autonomous agents executing prior auth, care coordination, documentation, and patient navigation end-to-end.
Model compression, edge deployment, privacy-preserving inference, and the shift to locally sovereign AI.
Capital flows, FDA and EU AI Act shifts, consolidation patterns, and the restructuring of a $4.9T ecosystem.
Mental models for leaders navigating exponential change — value equations, compute economics, governance.
Burnout reduction, labor restructuring, new clinical roles, algorithmic accountability, and equity.
AI-driven target identification, clinical trial acceleration, genomics, and the proof moment approaching.
Data-driven, contrarian analysis of AI's transformation of healthcare — from a physician who has watched three decades of health technology cycles and is now building the next one.