Mayo Clinic AI Detects Pancreatic Cancer 16 Months Early
alex_verem · x · 2026-07-05
The AI model REDMOD developed by Mayo Clinic can analyze routine CT scans previously deemed "normal" by radiologists. Results show that among patients later diagnosed, REDMOD identified 73% of silently developing cancers, spotting them up to 16 months before clinical diagnosis. Pancreatic cancer has a high mortality rate, with 85% of cases discovered only after spreading, and a five-year survival rate below 15%. Projected to become the second deadliest cancer in the US by 2030, early detection is critical.
More from Research
- New Blog Breaks Black-Box Distillation Into Five Practical Steps — chrisrohlf · 2026-10-26
- DetectorScope turns black-box AI text detectors into auditable ones with sparse autoencoders — _akhaliq · 2026-10-26
- OPST paper shows LLMs self-improve with zero human data, guided only by topic descriptions — _akhaliq · 2026-10-26
- SJTU's VaM lets robots learn online from mistakes, 95%+ success over 4-hour autonomous runs — chris_j_paxton · 2026-10-26
- Hugging Face uses small open models to reverse engineer a game binary byte-for-byte — yb2698 · 2026-10-26
- Author hopes contracting formalism becomes AI's "MDP moment" for agent economics — xuanalogue · 2026-10-26