Collaborative initiatives and novel AI tools are helping to advance lung cancer screening, but participation barriers and disparities persist despite guideline expansions.
Key Details
- 1Lung cancer screening uptake with low-dose CT (LDCT) increased from 4.5% in 2023 to 16% in 2024, with state variation from 9.7% to 35.5%.
- 2AI deep-learning tools (e.g., from Radboud) have reduced false-positive nodule results by nearly 40%.
- 3Barriers to high screening rates include insurance preauthorization, patient knowledge, provider communication, and logistical factors.
- 4The ACR Lung Cancer Screening Registry (LCSR) is evolving into the Early Lung Cancer Detection Registry (ELCDR) to improve tracking and follow-up of both screening and incidental nodules.
- 5Guideline updates expanded eligibility, but disparities in demographic participation remain and nodule overdiagnosis is a concern.
- 6RSNA 2025 and other conferences will feature major sessions on personalized AI risk tools and screening strategies.
Why It Matters

Source
AuntMinnie
Related News

a2z Radiology Raises $5M, Lands FDA Clearance for Multi-Condition CT AI
Boston-based a2z Radiology raised $4.5M and earned FDA clearance for its Unified Triage AI solution for abdominal and pelvic CT scans.

AI-Enhanced MRI Boosts Return-to-Play Predictions for Athlete Muscle Injuries
Adding AI to MRI-based classification systems improves return-to-play predictions for professional athletes with muscle injuries.

AI's Expanding Role in Healthcare and Implications for Radiology
A series of thought leaders and institutions weigh in on AI's transformative potential in healthcare, with emphasis on radiology adoption and responsible use.