US Edition
Study Warns AI Medical Advice Could Pose “Dangerous” Health Risks
9 Articles
9 Articles
In case of acute complaints, many rely on AI chatbots as medical advisors. An investigation by the University of Oxford now reveals their astonishingly poor performance. The systems do not perform better than a conventional Internet search.
While trials are under way to replace a doctor with a catbot in the first diagnosis, a study by the Oxford Internet Institute shows that an AI cannot give good advice, and could even worsen some cases.
Study warns AI medical advice could pose “dangerous” health risks
A major new study from the University of Oxford has found that using AI chatbots for medical advice may pose health risks because they often give inaccurate and inconsistent guidance. The research, published on 9 February 2026, was carried out by the Oxford Internet Institute and the Nuffield Department of Primary Care Health Sciences. It […] The post Study warns AI medical advice could pose “dangerous” health risks first appeared on The Zambian…
Apple recovers ground in China: the orange color of the iPhone 17 Pro seems to be the keyThe judgment against social networks begins: do they generate or not addiction in children?The large language models (LLM), based on artificial intelligence (IA) and trained to process and understand natural language on a huge scale, pose a risk to those seeking advice on health issues, because they tend to give inaccurate and inconsistent information.Accord…
New study warns risks of AI chatbots giving medical advice to patients
A major Oxford study finds AI chatbots can give inaccurate, inconsistent, and potentially dangerous medical advice, highlighting limits for real-world use Published in Nature Medicine, the Oxford-led research found that although AI chatbots perform well on standardised medical tests, they often provide real patients with unsafe or incorrect advice. The findings clearly show that AI is not reliable enough for trusted medical guidance or decision-…
Coverage Details
Bias Distribution
- 50% of the sources are Center, 50% of the sources lean Right
Factuality
To view factuality data please Upgrade to Premium
