A brand new find out about raises considerations referring to accountable AI in well being care. Researchers on the Icahn College of Medication at Mount Sinai discovered that AI fashions could make other remedy suggestions for a similar clinical situation in accordance with a affected person’s socioeconomic and demographic background. This highlights the will for safeguards to make sure that AI-driven hospital treatment is each secure, efficient, and suitable for everybody. Credit score: Mahmud Omar, MD.
As synthetic intelligence (AI) swiftly integrates into well being care, a find out about via researchers on the Icahn College of Medication at Mount Sinai finds that every one generative AI fashions would possibly counsel other remedies for a similar clinical situation based totally only on a affected person’s socioeconomic and demographic background.
Their findings, which can be detailed in Nature Medication, spotlight the significance of early detection and intervention to make sure that AI-driven care is secure, efficient, and suitable for all. The paper is titled “Socio-Demographic Biases in Medical Decision-Making by Large Language Models: A Large-Scale Multi-Model Analysis.”
As a part of their investigation, the researchers stress-tested 9 massive language fashions (LLMs) on 1,000 emergency division instances, each and every replicated with 32 other affected person backgrounds, producing greater than 1.7 million AI-generated…
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Publish date : 2025-04-07 15:07:00
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