AI for Healthcare
Where AI is actually used in clinical settings, what the evidence supports, and the regulatory reality — for clinicians, builders, and administrators evaluating it.
Read it in the library →Where AI Actually Sits in Care
Read the safety framing first, then the honest map: documentation, decision support, imaging, triage, patient-facing tools — and why most pilots never reach production.
Medical Imaging and Diagnostics
What imaging AI genuinely does well, reader assistance versus autonomous reading, the sensitivity–specificity dial, distribution shift, and automation bias.
Evidence, Validation, and Bias
Reading an AI study critically, why AUC is not clinical utility, documented dataset bias in health, local validation as a requirement, and monitoring for drift.
Regulation, Privacy, and Governance
Software as a Medical Device and intended use, the regulatory landscape conceptually, change control for updating models, patient data protection, accountability, and institutional governance.
Every lesson is free, with no sign-up. Reading happens in the library, where your progress is saved on your device.