Measuring What Matters: Evaluating AI’s True Clinical Impact
In the race to deploy AI in healthcare, headlines are often dominated by impressive accuracy scores. A model boasting “99% accuracy” sounds revolutionary—but in the nuanced world of oncology, a single metric can hide dangerous flaws. To build systems that clinicians can actually trust, we must look beyond the surface. We need a rigorous evaluation […]