Explainability in Medical AI: Why Your Black-Box Model Won’t Reach the Clinic
A researcher’s guide to trustworthy, interpretable ML for healthcare — the frameworks, the methods, the trade-offs, and what clinicians actually need from your model. Here’s a conversation I’ve had more times than I can count, in slightly different forms: Clinician: “Your model says this patient is high-risk. Why?”AI Researcher: “Well, the model captures complex non-linear … Read more