AI-Enhanced Lung Cancer Screening Trial: Deep Learning Tool Aims to Boost CT Uptake in High-Risk Patients
247 Health News Editorial
·17 May 2026
·4 min read
·clinical-trialsNew clinical trial evaluates AI tool that analyses chest X-rays to identify high-risk lung cancer patients and improve screening CT participation rates. The CXR-LC system could transform early detection strategies by identifying at-risk individuals missed by current guidelines.
Originally reported by ClinicalTrials.gov
References
- 1.Massachusetts General Hospital. (2024). Deep Learning Using Routine Chest X-Rays and Electronic Medical Record Data to Identify High Risk Patients for Lung Cancer Screening CT. ClinicalTrials.gov. NCT06910956. https://clinicaltrials.gov/study/NCT06910956
- 2.National Lung Screening Trial Research Team. (2011). Reduced lung-cancer mortality with low-dose computed tomographic screening. New England Journal of Medicine, 365(5), 395-409. https://doi.org/10.1056/NEJMoa1102873
- 3.Moyer, V. A. (2014). Screening for lung cancer: U.S. Preventive Services Task Force recommendation statement. Annals of Internal Medicine, 160(5), 330-338. https://doi.org/10.7326/M13-2771
- 4.Siegel, R. L., Miller, K. D., Wagle, N. S., & Jemal, A. (2023). Cancer statistics, 2023. CA: A Cancer Journal for Clinicians, 73(1), 233-254. https://doi.org/10.3322/caac.21763
- 5.Richards, T. B., Doria-Rose, V. P., Soman, A., et al. (2020). Lung cancer screening inconsistent with U.S. Preventive Services Task Force recommendations. American Journal of Preventive Medicine, 58(2), 246-254. https://doi.org/10.1016/j.amepre.2019.07.030
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247 Health News Editorial
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