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
CMS showcases first wave of digital health tools as questions about 'last mile' of adoption remain
fiercehealthcare - On Thursday, Trump administration officials unveiled the first wave of health tech tools as part of a push to make medical records more accessible to Medicare patients.
AI Summary: CMS showcased its first wave of vetted digital health tools via a new "app store" designed to streamline interoperability and distribute standardized applications across health systems. The platform aims to make vetted digital tools easily discoverable, but adoption hurdles, governance questions, and real‑world integration challenges mean hospitals may be cautious before swapping PDFs for plug‑and‑play magic.