"People are turning to this often free, always available, and quick-to-use technology for answers that a doctor or medical professional would once provide. A recent survey found that 63% of respondents find AI-generated health information reliable, according to Annenberg."
"A new poll from the Annenberg Public Policy Center finds that public trust in federal agencies like the Centers for Disease Control, the Food and Drug Administration, and the National Institutes of Health decreased by 5-7% over the past year."
"AI can give users thorough explanations and answers to every health query under the sun. But it can also get lots wrong."
Public trust in federal health agencies has declined 5-7% over the past year, coinciding with increased reliance on AI for medical guidance. Sixty-three percent of survey respondents consider AI-generated health information reliable. Major tech companies including Google, OpenAI, and Anthropic have developed health-focused language models, with Apple rumored to be developing similar tools and Oura launching a women's health AI. While AI provides comprehensive explanations for health queries, it frequently produces inaccurate information. Healthcare professionals like Dr. Alexa Mieses Malchuk report that AI has fundamentally altered patient interactions and clinical practice, requiring new approaches to patient education and medical guidance.
Read at ZDNET
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