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Doctors warn against dangers of health misinformation from AI sources
Survey shows 52% of Canadians use AI for health advice despite only 27% trusting it, raising concerns over misinformation and health risks amid care access issues.
- On Feb. 10, 2026 the Canadian Medical Association warned doctors that patients turning to AI for health advice face dangerous misinformation, as Dr. Margot Burnell said, `It's alarming because a lot of that information is misinformation, disinformation, and false information.`
- The CMA commissioned an Abacus Data survey of 5,001 Canadians in early November that asked where they get health information, but the survey cannot assign a margin of error.
- Only 27 per cent of respondents said they trust AI, yet about half turn to AI search results like Google or ChatGPT and around 38 per cent used ChatGPT for treatment advice.
- Those who followed AI advice were five times more likely to report adverse reactions, while half of respondents grew skeptical of provider advice and 69 per cent doubted online health information.
- Respondents said social media companies and the government must act, as the vast majority believe they should address health misinformation and more than three-quarters worry about U.S. misinformation from Donald Trump and Robert F. Kennedy Jr.
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34 Articles
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24heures.ca
24heures.caA majority of Canadians turn to AI for medical advice, a practice that is of concern.
·Montreal, Canada
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Medical misinformation more likely to fool AI if source appears legitimate, study shows
Artificial intelligence tools are more likely to provide incorrect medical advice when the misinformation comes from what the software considers to be an authoritative source, a new study found.
·United Kingdom
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Canadians who have taken artificial health intelligence advice are five times more likely to have had adverse effects than others, warns a Canadian Medical Association report that Canadian Press was able to read before it was published.
·Saint-Georges, Canada
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Total News Sources34
Leaning Left19Leaning Right0Center6Last UpdatedBias Distribution76% Left
Bias Distribution
- 76% of the sources lean Left
76% Left
L 76%
C 24%
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