A new human-in-the-loop training method proves that AI can slash the grueling hours radiologists spend labeling medical images without sacrificing clinical accuracy.

An autonomous AI agent just built a medical imaging tool that outperformed human-engineered models, proving that clinical-grade machine learning no longer requires a team of coders.

Medical AI models are passing clinical tests by reading machine settings instead of actual patient disease.