Leveraging large language models to extract smoking history from clinical notes for lung cancer surveillance.
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| Title: | Leveraging large language models to extract smoking history from clinical notes for lung cancer surveillance. |
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| Authors: | Luo I; Quantitative Sciences Unit, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA., Graber-Naidich A; Quantitative Sciences Unit, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA., Zhang M; Quantitative Sciences Unit, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA., Kaushik R; Quantitative Sciences Unit, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA., Nieda GM; Quantitative Sciences Unit, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA., Chen T; Palo Alto Medical Foundation Research Institute, Sutter Health, Palo Alto, CA, USA., Gu B; Quantitative Sciences Unit, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA., Choi E; Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA., Ding VY; Quantitative Sciences Unit, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA., Gunturkun F; Quantitative Sciences Unit, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA., Satoyoshi M; Technology & Digital Solutions, Stanford Health Care, Palo Alto, CA, USA., Bhat A; Technology & Digital Solutions, Stanford Health Care, Palo Alto, CA, USA., Lee TY; Quantitative Sciences Unit, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA., Su CC; Quantitative Sciences Unit, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA., Ellis-Caleo TJ; Division of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA., Henry AS; Technology & Digital Solutions, Stanford Health Care, Palo Alto, CA, USA., Desai M; Quantitative Sciences Unit, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.; Stanford Cancer Institute, Stanford University, Stanford, CA, USA., Backhus LM; Division of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.; Department of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, CA, USA., Lui NS; Department of Cardiothoracic Surgery, Stanford University School of Medicine, Stanford, CA, USA., Leung A; Department of Radiology, Stanford University, Stanford, CA, USA., Neal JW; Division of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.; Stanford Cancer Institute, Stanford University, Stanford, CA, USA., Kurian AW; Division of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.; Stanford Cancer Institute, Stanford University, Stanford, CA, USA.; Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA., Langlotz CP; Department of Radiology, Stanford University, Stanford, CA, USA., Wakelee HA; Division of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.; Stanford Cancer Institute, Stanford University, Stanford, CA, USA., Liang SY; Palo Alto Medical Foundation Research Institute, Sutter Health, Palo Alto, CA, USA., Khan A; Department of Computer Science and Engineering, Indian Institute of Technology (BHU) Varanasi, Varanasi, India., Han SS; Quantitative Sciences Unit, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA. summerh@stanford.edu.; Stanford Cancer Institute, Stanford University, Stanford, CA, USA. summerh@stanford.edu.; Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA. summerh@stanford.edu.; Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, USA. summerh@stanford.edu. |
| Source: | NPJ digital medicine [NPJ Digit Med] 2025 Nov 28; Vol. 8 (1), pp. 731. Date of Electronic Publication: 2025 Nov 28. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101731738 Publication Model: Electronic Cited Medium: Internet ISSN: 2398-6352 (Electronic) Linking ISSN: 23986352 NLM ISO Abbreviation: NPJ Digit Med Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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