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.
A new open-source AI model successfully automates the tedious manual tracking of heart chambers and blood flow velocity, moving cardiac imaging past simple ventricular checks.
Most clinical AI models fail when they leave their home hospital, but a new 26-model suite proves that reproducible clinical tools can survive the transition to different healthcare systems.