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Sara M

As seen in: Nature, Oxford Academic, MDPI, Acta Neuropathologica Communications, Flipboard, DEV Community, Dialnet - Universidad de La Rioja, Asian - Australasian Journal of Animal Sciences, Revista de Gestao USP

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Publisher Correction: Reliability of LLMs as medical assistants for the general public: a randomized preregistered study

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By Andrew Bean, Rebecca Payne, Guy Parsons, Hannah Kirk, Juan Ciro, Rafael Mosquera-Gómez, Sara M, Aruna S. Ekanayaka, Lionel Tarassenko, Luc Rocher, Adam Mahdi
| Nature Verified
Correction to: Nature Medicine https://doi.org/10.1038/s41591-025-04074-y, published online 9 February 2026. In the version of the article initially published, in Fig. 2a, the y-axis labels were “0, 20, 80, 60, 80, 100” in both graphs but should have been “0, 20, 40, 60, 80, 100”. This correction has been made to the HTML and PDF versions of the article.
Open in Who Shared View Duplicates (9) Issue with article?

Reliability of LLMs as medical assistants for the general public: a randomized preregistered study

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By Andrew Bean, Rebecca Payne, Guy Parsons, Hannah Kirk, Rafael Mosquera-Gómez, Sara M, Aruna S. Ekanayaka, Lionel Tarassenko, Luc Rocher, Adam Mahdi, Juan Ciro
| Flipboard
6 hours ago One of the promises of AI is that it can reduce workloads so employees can focus more on higher-value and more engaging tasks. But according to new research, AI tools don’t reduce work, they consistently intensify it: In the study, employees worked at a faster pace, took on a broader scope of …
Open in Who Shared View Duplicates (10) Issue with article?

Reliability of LLMs as medical assistants for the general public: a randomized preregistered study

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By Andrew Bean, Rebecca Payne, Guy Parsons, Hannah Kirk, Juan Ciro, Rafael Mosquera-Gómez, Sara M, Aruna S. Ekanayaka, Lionel Tarassenko, Luc Rocher, Adam Mahdi
| Nature Verified
Abstract Global healthcare providers are exploring the use of large language models (LLMs) to provide medical advice to the public. LLMs now achieve nearly perfect scores on medical licensing exams, but this does not necessarily translate to accurate performance in real-world settings. We tested whether LLMs can assist members of the public in identifying underlying conditions and choosing a course of action (disposition) in ten medical scenarios in a controlled study with 1,298 participants.
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