Novel AI Lung Cancer Risk Assessment Trial Opens: Evaluating Patient-Reported Outcomes in Screening-Eligible Adults
247 Health News Editorial
·7 Apr 2026
·4 min read
·clinical-trialsThe SENTINEL-1 trial is evaluating how patients respond to AI-generated lung cancer risk predictions, measuring psychological and behavioural outcomes in 400 screening-eligible adults. This research addresses critical knowledge gaps as healthcare systems increasingly adopt AI-driven clinical decision support tools.
Originally reported by ClinicalTrials.gov
References
- 1.University of Illinois at Chicago. (2024). Systemwide Early Notification Tool for ImmineNt Lung Cancer-1 Study: Evaluating Patient-Reported Outcomes of Artificial Intelligence Inferred Lung Cancer Risk. ClinicalTrials.gov. NCT07458425. https://clinicaltrials.gov/study/NCT07458425
- 2.Siegel, R. L., Miller, K. D., Wagle, N. S., & Jemal, A. (2023). Cancer statistics, 2023. CA: A Cancer Journal for Clinicians, 73(3), 233-254. https://doi.org/10.3322/caac.21763
- 3.Fedewa, S. A., Kazerooni, E. A., Studts, J. L., Smith, R. A., Bandi, P., Sauer, A. G., & Jemal, A. (2021). State variation in low-dose computed tomography scanning for lung cancer screening in the United States. JNCI: Journal of the National Cancer Institute, 113(8), 1044-1052. https://doi.org/10.1093/jnci/djaa170
- 4.Brain, K., Lifford, K. J., Carter, B., Burke, O., McRonald, F., Devaraj, A., ... & Duffy, S. W. (2016). Long-term psychosocial outcomes of low-dose CT screening: results of the UK Lung Cancer Screening randomised controlled trial. Thorax, 71(11), 996-1005. https://doi.org/10.1136/thoraxjnl-2016-208283
- 5.Tammemägi, M. C., Katki, H. A., Hocking, W. G., Church, T. R., Caporaso, N., Kvale, P. A., ... & Berg, C. D. (2013). Selection criteria for lung-cancer screening. New England Journal of Medicine, 368(8), 728-736. https://doi.org/10.1056/NEJMoa1211776
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247 Health News Editorial
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