Performance of a large language model on the reasoning tasks of a physician.
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| Title: | Performance of a large language model on the reasoning tasks of a physician. |
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| Authors: | Brodeur PG; Department of Internal Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA., Buckley TA; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA., Kanjee Z; Department of Internal Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA., Goh E; Stanford Division of Computational Medicine, Stanford University, Stanford, CA, USA.; Stanford Clinical Excellence Research Center, Stanford University, Stanford, CA, USA., Ling EB; Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA., Jain P; Department of Internal Medicine, Cambridge Health Alliance, Cambridge, MA, USA., Cabral S; Department of Internal Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.; Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, MA, USA., Abdulnour RE; Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA, USA., Haimovich AD; Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA., Freed JA; Department of Hematology-Oncology, Beth Israel Deaconess Medical Center, Boston, MA, USA., Olson A; Department of Hospital Medicine, University of Minnesota Medical School, Minneapolis, MN, USA., Morgan DJ; Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, USA.; Veterans Affairs Maryland Healthcare System, Baltimore, MD, USA., Hom J; Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA., Gallo R; Center for Innovation to Implementation, VA Palo Alto Health Care System, Palo Alto, CA USA.; Division of Hospital Medicine at Zuckerberg San Francisco General Hospital, University of California, San Francisco, San Francisco, CA, USA., McCoy LG; Department of Internal Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.; Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA.; Division of Neurology, University of Alberta, Edmonton, AB, Canada., Mombini H; Technology and Innovation Group, Beth Israel Lahey Health, Boston, MA, USA., Lucas C; Department of Internal Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA., Fotoohi M; Department of Internal Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA., Gwiazdon M; Department of Internal Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA., Restifo D; Department of Internal Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA., Restrepo D; Department of Medicine, Massachusetts General Hospital, Boston, MA, USA., Horvitz E; Microsoft, Redmond, WA, USA.; Stanford Institute for Human-Centered Artificial Intelligence, Stanford, CA, USA., Chen J; Stanford Division of Computational Medicine, Stanford University, Stanford, CA, USA.; Stanford Clinical Excellence Research Center, Stanford University, Stanford, CA, USA.; Division of Hospital Medicine, Department of Medicine, Stanford University, Stanford, CA, USA., Manrai AK; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA., Rodman A; Department of Internal Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA. |
| Source: | Science (New York, N.Y.) [Science] 2026 Apr 30; Vol. 392 (6797), pp. 524-527. Date of Electronic Publication: 2026 Apr 30. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: American Association for the Advancement of Science Country of Publication: United States NLM ID: 0404511 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1095-9203 (Electronic) Linking ISSN: 00368075 NLM ISO Abbreviation: Science Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1095-9203 |
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| DOI: | 10.1126/science.adz4433 |
