A foundation model for human-AI collaboration in medical literature mining.
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| Title: | A foundation model for human-AI collaboration in medical literature mining. |
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| Authors: | Wang Z; Keiji AI, Seattle, WA, USA. zifeng@keiji.ai., Cao L; School of Computing and Data Science, University of Illinois Urbana-Champaign, Urbana, IL, USA., Jin Q; Division of Intramural Research, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA., Chan J; Division of Intramural Research, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA., Wan N; Division of Intramural Research, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA., Afzali B; Kidney Diseases Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA., Cho HJ; Center for Advanced Medical Computing and Analysis, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA., Choi CI; Center for Advanced Medical Computing and Analysis, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA., Emamverdi M; National Eye Institute, National Institutes of Health, Bethesda, MD, USA., Gill MK; Department of Ophthalmology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA., Kim SH; Center for Advanced Medical Computing and Analysis, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.; Division of Pulmonary and Critical Care Medicine, Department of Medicine, Chungbuk National University Hospital, Chungbuk National University College of Medicine, Cheongju, Republic of Korea., Li Y; Department of Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA, USA., Liu Y; Department of Medicine, Weill Cornell Medicine, New York, NY, USA., Luo Y; Division of Rheumatology, Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA., Ong H; Department of Radiology, Weill Cornell Medicine, New York, NY, USA., Rousseau JF; Department of Neurology, UT Southwestern Medical Center, Dallas, TX, USA.; Clinical Informatics Center, University of Texas Southwestern Medical Center, Dallas, USA., Sheikh I; Department of Neurology, UT Southwestern Medical Center, Dallas, TX, USA., Wei JJ; Department of Dermatology, University of Washington, Seattle, WA, USA., Xu Z; Department of Dermatology, NYU Langone Health, New York, NY, USA., Zallek CM; OSF HealthCare Illinois Neurological Institute, Peoria, IL, USA., Kim K; Center for Advanced Medical Computing and Analysis, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA., Peng Y; Department of Radiology, Weill Cornell Medicine, New York, NY, USA.; Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA.; Institute of Artificial Intelligence for Digital Health, Weill Cornell Medicine, New York, USA., Lu Z; Division of Intramural Research, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA., Sun J; Keiji AI, Seattle, WA, USA. jimeng@illinois.edu.; School of Computing and Data Science, University of Illinois Urbana-Champaign, Urbana, IL, USA. jimeng@illinois.edu.; Carle Illinois College of Medicine, University of Illinois Urbana-Champaign, Urbana, IL, USA. jimeng@illinois.edu. |
| Source: | Nature communications [Nat Commun] 2025 Sep 24; Vol. 16 (1), pp. 8361. Date of Electronic Publication: 2025 Sep 24. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2041-1723 |
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| DOI: | 10.1038/s41467-025-62058-5 |
