Should you really trust health advice from an AI chatbot?
bbc - Abi has had very mixed results when asking a chatbot for guidance about her health issues.
AI Summary: Recent analyses and a hospital study reveal mainstream AI chatbots frequently provide incorrect or misleading medical guidance and miss initial diagnoses, posing real patient‑safety risks. The research shows these systems can fabricate facts, overconfidently assert dubious recommendations and fail to flag uncertainty, prompting calls for clinician oversight, clearer warnings and tighter evaluation before trusting bots with health decisions.
- Chatbots misdiagnose and confidently give dangerous medical advice (4)
- Companies race to build clinical AI tools and invest heavily (4)
- Other AI healthcare stories: innovation, payers, workflows, mental health trials (12)
- Researchers demand proof and robust evaluation before clinical AI deployment (5)
- Utah pilots bold AI medical programs, sparking safety debates (3)
- All Other Stories
Chatbots misdiagnose and confidently give dangerous medical advice
Companies race to build clinical AI tools and invest heavily
Other AI healthcare stories: innovation, payers, workflows, mental health trials
Researchers demand proof and robust evaluation before clinical AI deployment
Utah pilots bold AI medical programs, sparking safety debates
All Other Stories
Growing liver tissue directly in the body could ease donor organ shortage
medicalxpress - In patients developing end-stage liver disease, the damage has become too severe for the liver's normally extraordinary regenerative capacity to repair or compensate for it. Once this "point of no return" has been reached, the only option is an organ tran…
AI Summary: Scientists report a technique to grow liver tissue directly inside the body as a potential solution to donor organ shortages, demonstrating functional hepatic tissue formation in preclinical or early clinical models. The promising results have been followed by an editorial expression of concern over methodology and data, prompting calls for independent validation before wider clinical use.