Health AI Central
Peer-Reviewed Publication
PLoS One2026;21(10):e0358655.January 1, 2026Journal Article

Real-world before-and-after evaluation of AI support for lung cancer diagnosis at three US lung nodule clinics.

Kenneth Adam Lee1, Amit Borah2, Garrett Fiscus3, Lisa Petricca3, Sarah Dean2, Annika Rings4, Catarina Santos4, Lyndsey C Pickup4, Omar Ibrahim3
1Thoracic Surgery and Lung Center of Excellence, Jupiter Medical Center, Jupiter, Florida, United States of America.
2Interventional Pulmonology, AtlantiCare Regional Medical Center, Atlantic City, New Jersey, United States of America.
3Department of Medicine, Division of Pulmonary, Critical Care, and Sleep Medicine, University of Connecticut School of Medicine, Farmington, Connecticut, United States of America.
4Optellum Ltd, Oxford, United Kingdom.
PubMed DOI

Abstract

BACKGROUND: Health systems and payers require evidence that artificial intelligence (AI)-enabled decision support improves care delivery. Integrating AI into lung nodule management pathways may streamline workflows, improve identification and triage of patients with pulmonary nodules, and enable earlier lung cancer diagnosis. Yet real-world evidence of clinical utility remains limited. This study…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Create Free AccountSign In

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.