Employment of artificial intelligence for early lung cancer diagnosis: a retrospective cohort study.

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Title: Employment of artificial intelligence for early lung cancer diagnosis: a retrospective cohort study.
Authors: Hill NR; Bristol-Myers Squibb Co R&D Lawrenceville, Lawrenceville, New Jersey, USA., Dotson T; Pulmonary/Critical Care, Atrium Health Wake Forest Baptist, Winston-Salem, North Carolina, USA., Maus SE; Pulmonary/Critical Care, Atrium Health Wake Forest Baptist, Winston-Salem, North Carolina, USA., Bellinger C; Pulmonary/Critical Care, Atrium Health Wake Forest Baptist, Winston-Salem, North Carolina, USA., Mehta V; Comprehensive Cancer Centers of Nevada, Henderson, Nevada, USA., Rings A; Optellum Ltd, Oxford, UK annika.rings@optellum.com., Pickup LC; Optellum Ltd, Oxford, UK., Waterfield Price N; Optellum Ltd, Oxford, UK., Potěšil V; Optellum Ltd, Oxford, UK., Carbone DP; The Ohio State University Comprehensive Cancer Center, Columbus, Ohio, USA., Pannu J; The Ohio State University Wexner Medical Center, Columbus, Ohio, USA.
Source: BMJ open respiratory research [BMJ Open Respir Res] 2025 Nov 17; Vol. 12 (1). Date of Electronic Publication: 2025 Nov 17.
Publication Type: Journal Article
Journal Info: Publisher: BMJ Publishing Group Ltd & British Thoracic Society Country of Publication: England NLM ID: 101638061 Publication Model: Electronic Cited Medium: Internet ISSN: 2052-4439 (Electronic) Linking ISSN: 20524439 NLM ISO Abbreviation: BMJ Open Respir Res Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2052-4439
DOI:10.1136/bmjresp-2025-003225