Health Technology/clinical-trials

AI-Enhanced Peer Review Trial Launches to Reduce Radiation Therapy Planning Errors in Prostate Cancer

247 Health News Editorial

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8 Apr 2026

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4 min read

·clinical-trials

New 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. 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
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  4. 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. 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. 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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