{
  "id": 19824045,
  "title": "Your AI Health Advice May Be Influenced by Drug Ads, Study Finds",
  "url": "https://urgent.news/2026/11/13/your-ai-health-advice-may-be-influenced-by-drug-ads-study-finds",
  "topic": "health",
  "section": "Health & Medicine",
  "published": "2026-11-13T15:23:55.000Z",
  "source": {
    "name": "Benzinga",
    "slug": "benzinga",
    "url": "https://www.benzinga.com/news/health-care/26/11/63244586/your-ai-health-advice-may-be-influenced-by-drug-ads-study-finds"
  },
  "original_language": "en",
  "account": "A new study from the Icahn School of Medicine at Mount Sinai has revealed that commercial pharmaceutical advertisements can sway the treatment recommendations made by artificial intelligence models, even when those systems clearly indicate the promotional content. As AI becomes more widely used for health information, researchers at Mount Sinai investigated the impact of drug ads on clinical questions posed to AI systems. Their findings were published in the November 11 issue of The Lancet Digital Health.\n\nTo test the influence of drug ads, the researchers used 12 AI models developed by leading technology companies, such as Google, OpenAI, and Anthropic. They presented the models with 33 clinical cases written by physicians, either alone or immediately following a clearly labeled drug advertisement. Across over 258,000 responses, the study found that AI models were 47.6% more likely to recommend the advertised medication when an ad was present, compared to 35% when no ad was included. In four instances, AI models switched from never recommending the advertised drug to always recommending it after the ad was introduced.\n\nInterestingly, only 29.9% of AI-generated free-text responses acknowledged the advertisement, but in those cases, they also repeated claims or details from the promotional material. While drug ads did not clearly increase support for unsupported supplements or clearly suboptimal drugs, the researchers emphasize that this does not guarantee safe advice. Additionally, the study did not investigate how these recommendation changes might affect prescriptions, patient decisions, costs, or health outcomes.\n\nThe research team stresses the importance of implementing safeguards to protect clinical integrity, including testing AI models with and without promotional content, disclosing when systems receive ads, and separating advertisements from clinical advice. The findings also call for regulators to consider how pharmaceutical advertising rules apply to AI-generated health information as the team continues to evaluate human-AI interactions in real-world clinical cases.",
  "summary": "Commercial pharmaceutical advertisements can significantly alter which medical treatments artificial intelligence models recommend, even when systems clearly label the promotional content, according to new research from the Icahn School of Medicine at Mount Sinai . As more people turn to AI for health information, Mount Sinai investigators examined how commercial advertising affects clinical…",
  "key_points": [
    "AI models 47.6% more likely to recommend advertised drugs when ads present.",
    "Only 29.9% of AI responses acknowledged drug ads, repeating promotional details.",
    "Researchers urge safeguards for AI clinical advice amid advertising influence."
  ],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}