aceReal-world before-and-after evaluation of AI support for lung cancer diagnosis at three US lung nodule clinics
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 evaluated the impact of implementing commercially available AI software to support the lung nodule and lung cancer car…
After AI software was implemented, monthly new patients at three lung nodule clinics rose from 11.0 to 18.6 and monthly invasive procedures rose from 4.9 to 8.0.
Evidence
- Peer-reviewedPLOS One2026-10-14
How should this claim be treated?
Truvace Impact Record TRV-2026-1921, v1: “Real-world before-and-after evaluation of AI support for lung cancer diagnosis at three US lung nodule clinics.” Truvace, 2026-10-19. /record/TRV-2026-1921 (accessed at citation time). sha256 9050f38acf30c72f…
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