Health Technology/clinical-trials

Multicentre Study Evaluates AI-Enhanced Imaging for Prostate Cancer Risk Stratification — Potential to Reduce Unnecessary Biopsies

247 Health News Editorial

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14 June 2026

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3 min read

·clinical-trials

A large multicentre study is evaluating whether deep learning models combining MRI, ultrasound, and digital pathology can improve prostate cancer risk stratification and reduce unnecessary biopsies. The 3,000-patient study aims to validate AI-enhanced imaging for more accurate diagnosis of clinically significant prostate cancer.

Originally reported by ClinicalTrials.gov

References

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  3. 3.Guangxi Medical University. (2024). A Multicenter Study of a Deep Learning Model Based on Spatial Registration of Multimodal Imaging and Digital Pathology for Predicting Clinically Significant Prostate Cancer. ClinicalTrials.gov. NCT07614256. https://clinicaltrials.gov/study/NCT07614256
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  9. 9.Weinreb, J. C., Barentsz, J. O., Choyke, P. L., Cornud, F., Haider, M. A., Macura, K. J., ... & Verma, S. (2016). PI-RADS Prostate Imaging–Reporting and Data System: 2015, version 2. European Urology, 69(1), 16-40. https://doi.org/10.1016/j.eururo.2015.08.052
  10. 10.Welch, H. G., & Black, W. C. (2010). Overdiagnosis in cancer. Journal of the National Cancer Institute, 102(9), 605-613. https://doi.org/10.1093/jnci/djq099
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247 Health News Editorial

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