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.

Hospitals are drowning in imaging volumes, but buying new CT scanners to improve image quality is a financial non-starter for most struggling health systems.

Throwing millions at AI imaging algorithms will not solve the UK’s cancer crisis without the human staff to act on the results.