AI-Enhanced Peer Review Trial Launches to Reduce Radiation Therapy Planning Errors in Prostate Cancer
247 Health News Editorial
·8 Apr 2026
·4 min read
·clinical-trialsNew US study tests AI decision support tools to reduce radiation therapy planning errors in prostate cancer treatment. The system enhances peer review processes by highlighting provider variability and flagging potential planning mistakes.
Originally reported by ClinicalTrials.gov
References
- 1.UNC Lineberger Comprehensive Cancer Center. (2024). Development and Assessment of Artificial Intelligence (AI)-Enhanced Pretreatment Peer-review Process to Improve Patient Safety in Radiation Oncology. ClinicalTrials.gov. https://clinicaltrials.gov/study/NCT07463833
- 2.Vinod, S. K., Jameson, M. G., Min, M., & Holloway, L. C. (2016). Uncertainties in volume delineation in radiation oncology: A systematic review and recommendations for future studies. Radiotherapy and Oncology, 121(2), 169-179. https://doi.org/10.1016/j.radonc.2016.09.009
- 3.Curran, W. J., Paulus, R., Langer, C. J., Komaki, R., Lee, J. S., Hauser, S., Movsas, B., Michaelson, R., Garces, Y. I., Choy, H., Theuer, C., Raben, D., Schild, S. E., Bogart, J. A., Vokes, E. E., Wang, X., & Cox, J. D. (2011). Sequential vs. concurrent chemoradiation for stage III non-small cell lung cancer: randomized phase III trial RTOG 9410. Journal of the National Cancer Institute, 103(19), 1452-1460. https://doi.org/10.1093/jnci/djr325
- 4.Marks, L. B., Yorke, E. D., Jackson, A., Ten Haken, R. K., Constine, L. S., Eisbruch, A., Bentzen, S. M., Deasy, J. O., Gomez, D. R., Hardenbergh, P. H., Mo, Q., Palma, D., Rancati, T., Schultheiss, T. E., Tomé, W. A., & Lawrence, T. S. (2010). Use of normal tissue complication probability models in the clinic. International Journal of Radiation Oncology Biology Physics, 76(3), S10-S19. https://doi.org/10.1016/j.ijrobp.2009.07.1754
- 5.Lawton, C. A., Michalski, J., El-Naqa, I., Buyyounouski, M. K., Lee, W. R., Menard, C., O'Meara, E., Rosenthal, S. A., Ritter, M., & Seider, M. (2009). RTOG GU Radiation Oncology Specialists reach consensus on pelvic lymph node volumes for high-risk prostate cancer. International Journal of Radiation Oncology Biology Physics, 74(2), 383-387. https://doi.org/10.1016/j.ijrobp.2008.08.002
- 6.Kron, T., Lehmann, J., & Greer, P. B. (2016). Dosimetry of ionising radiation in modern radiation oncology. Physics in Medicine & Biology, 61(14), R167-R205. https://doi.org/10.1088/0031-9155/61/14/R167
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247 Health News Editorial
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