Cost-effectiveness analysis of artificial intelligence-assisted risk stratification of indeterminate pulmonary nodules.
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| Title: | Cost-effectiveness analysis of artificial intelligence-assisted risk stratification of indeterminate pulmonary nodules. |
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| Authors: | Godfrey CM; Department of Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America., Leech AA; Department of Health Policy, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America., McGann KC; Department of Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America., Zhu J; Department of Health Policy, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America., Marmor HN; Department of Thoracic Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America., Pena S; Department of Thoracic Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America., Pickup LC; Optellum Ltd, Oxford, United Kingdom., Maldonado F; Division of Allergy, Pulmonary, and Critical Care Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America., Osmundson EC; Department of Radiation Oncology, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America., Dusetzina SB; Department of Health Policy, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America., Grogan EL; Department of Thoracic Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.; Tennessee Valley Healthcare System, Nashville, Tennessee, United States of America., Deppen SA; Department of Thoracic Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.; Tennessee Valley Healthcare System, Nashville, Tennessee, United States of America. |
| Source: | PloS one [PLoS One] 2026 Mar 05; Vol. 21 (3), pp. e0343492. Date of Electronic Publication: 2026 Mar 05 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0343492 |
