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All That Shines Is Not Gold: Maintaining Scientific Rigor When Evaluating, Interpreting, and Reviewing Studies Using Large Language Models.

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Title: All That Shines Is Not Gold: Maintaining Scientific Rigor When Evaluating, Interpreting, and Reviewing Studies Using Large Language Models.
Authors: Dundas NE; Department of Bioengineering, University of California, Berkeley, Berkeley, California., Law T; Department of Anesthesia and Perioperative Care, University of California, San Francisco, San Francisco, California., Brender T; Department of Internal Medicine, University of California, San Francisco, San Francisco, California., Mills H; Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, California., Espejo E; Geriatrics, Palliative, and Extended Care, Veterans Affairs Medical Center, San Francisco, California., A Heintz T; Department of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women's Hospital, Boston, Massachusetts., Wallace AW; Department of Anesthesia and Perioperative Care, University of California, San Francisco, San Francisco, California; Department of Anesthesia, San Francisco Veterans Affairs Medical Center, San Francisco, California., Cobert J; Department of Anesthesia and Perioperative Care, University of California, San Francisco, San Francisco, California; Department of Anesthesia, San Francisco Veterans Affairs Medical Center, San Francisco, California.
Source: Anesthesiology [Anesthesiology] 2026 Feb 01; Vol. 144 (2), pp. 272-288. Date of Electronic Publication: 2025 Dec 09.
Publication Type: Journal Article; Review
Journal Info: Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 1300217 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1528-1175 (Electronic) Linking ISSN: 00033022 NLM ISO Abbreviation: Anesthesiology Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: All That Shines Is Not Gold: Maintaining Scientific Rigor When Evaluating, Interpreting, and Reviewing Studies Using Large Language Models.
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  Data: <searchLink fieldCode="AU" term="%22Dundas+NE%22">Dundas NE</searchLink>; Department of Bioengineering, University of California, Berkeley, Berkeley, California.<br /><searchLink fieldCode="AU" term="%22Law+T%22">Law T</searchLink>; Department of Anesthesia and Perioperative Care, University of California, San Francisco, San Francisco, California.<br /><searchLink fieldCode="AU" term="%22Brender+T%22">Brender T</searchLink>; Department of Internal Medicine, University of California, San Francisco, San Francisco, California.<br /><searchLink fieldCode="AU" term="%22Mills+H%22">Mills H</searchLink>; Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, California.<br /><searchLink fieldCode="AU" term="%22Espejo+E%22">Espejo E</searchLink>; Geriatrics, Palliative, and Extended Care, Veterans Affairs Medical Center, San Francisco, California.<br /><searchLink fieldCode="AU" term="%22A+Heintz+T%22">A Heintz T</searchLink>; Department of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women's Hospital, Boston, Massachusetts.<br /><searchLink fieldCode="AU" term="%22Wallace+AW%22">Wallace AW</searchLink>; Department of Anesthesia and Perioperative Care, University of California, San Francisco, San Francisco, California; Department of Anesthesia, San Francisco Veterans Affairs Medical Center, San Francisco, California.<br /><searchLink fieldCode="AU" term="%22Cobert+J%22">Cobert J</searchLink>; Department of Anesthesia and Perioperative Care, University of California, San Francisco, San Francisco, California; Department of Anesthesia, San Francisco Veterans Affairs Medical Center, San Francisco, California.
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  Data: <searchLink fieldCode="JN" term="%221300217%22">Anesthesiology</searchLink> [Anesthesiology] 2026 Feb 01; Vol. 144 (2), pp. 272-288. <i>Date of Electronic Publication: </i>2025 Dec 09.
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              Text: 2026 Feb 01
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