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Publisher Correction: Large language models encode clinical knowledge.

作者信息

Singhal Karan, Azizi Shekoofeh, Tu Tao, Mahdavi S Sara, Wei Jason, Chung Hyung Won, Scales Nathan, Tanwani Ajay, Cole-Lewis Heather, Pfohl Stephen, Payne Perry, Seneviratne Martin, Gamble Paul, Kelly Chris, Babiker Abubakr, Schärli Nathanael, Chowdhery Aakanksha, Mansfield Philip, Demner-Fushman Dina, Agüera Y Arcas Blaise, Webster Dale, Corrado Greg S, Matias Yossi, Chou Katherine, Gottweis Juraj, Tomasev Nenad, Liu Yun, Rajkomar Alvin, Barral Joelle, Semturs Christopher, Karthikesalingam Alan, Natarajan Vivek

机构信息

Google Research, Mountain View, CA, USA.

National Library of Medicine, Bethesda, MD, USA.

出版信息

Nature. 2023 Aug;620(7973):E19. doi: 10.1038/s41586-023-06455-0.


DOI:10.1038/s41586-023-06455-0
PMID:37500979
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10412443/
Abstract
摘要

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Clin Ophthalmol. 2025-5-8

[3]
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[4]
Large Language Models in Biochemistry Education: Comparative Evaluation of Performance.

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[5]
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Transitioning from "Dr. Google" to "Dr. ChatGPT": the advent of artificial intelligence chatbots.

Transl Androl Urol. 2024-6-30

[7]
From explainable to interpretable deep learning for natural language processing in healthcare: How far from reality?

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Leveraging generative AI for clinical evidence synthesis needs to ensure trustworthiness.

J Biomed Inform. 2024-5

[9]
Machine learning natural language processing for identifying venous thromboembolism: systematic review and meta-analysis.

Blood Adv. 2024-6-25

[10]
Large language models and generative AI in telehealth: a responsible use lens.

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