ML predicts fertility-sparing treatment success in cancer
A new machine learning model uses simple blood and nutrition markers to predict which uterine cancer patients can safely skip aggressive surgery to preserve their fertility.
Canada Pours Millions Into Hospital Data
A massive cash injection for Canada's clinical data platform exposes the deep friction between sovereign AI ambitions and fragmented provincial healthcare systems.
AI predicts brain bleed survival without brain scans
A new machine learning model predicts 30-day mortality for brain bleed patients using routine clinical data instead of expensive brain scans, challenging the assumption that advanced imaging is required for accurate prognosis.
The Health AI Brief — Week of July 13, 2026
AI sepsis recommendations match better survival outcomes
Whistleblower Lawsuit Exposes Healthcare AI Safety Gaps
A federal whistleblower lawsuit alleging a massive cover-up of AI error rates challenges the narrative of seamless clinical automation.
AI Detects Blood Cancers From Routine Blood Tests
A new AI model turns the standard complete blood count into an instant classifier for leukemia and severe infections, bypassing the slow manual slide review that delays critical care.
Penn Medicine Puts AI in Virtual Triage
Health systems are outsourcing the clinical interview to algorithms, but the real test is whether doctors actually regain their time.
Chatbots fail to ease patient decisional conflict
A new clinical trial reveals that giving patients ChatGPT before or after their specialist visits does not reduce their anxiety or help them make better treatment decisions.
Evernorth Bets $100 Million on AI Pharmacy
Specialty drug costs are eating health insurance budgets alive, forcing payers to automate the back office just to survive the margin squeeze.
AI Predicts Veteran Mortality Using Outpatient Billing Codes
A new model bypasses complex clinical charts to predict long-term death risk using nothing but raw billing codes.