Health Technology/clinical-trials

Completed Study Compares AI Software vs Expert Radiologists for Prostate Cancer Detection on mpMRI — Implications for Clinical Practice

247 Health News Editorial

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26 May 2026

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4 min read

·clinical-trials

A completed Italian study compared AI software to expert radiologists for prostate cancer detection on mpMRI in 200 patients. Results could inform AI implementation in Australian clinical practice.

Originally reported by ClinicalTrials.gov

References

  1. 1.IRCCS San Raffaele. (2024). The Role of Artificial Intelligence in the Assessment of Multiparametric Resonance of the Prostate in Prostate Cancer Patients. ClinicalTrials.gov. NCT06298305. https://clinicaltrials.gov/study/NCT06298305
  2. 2.Turkbey, B., Rosenkrantz, A. B., Haider, M. A., Padhani, A. R., Villeirs, G., Macura, K. J., Tempany, C. M., Choyke, P. L., Cornud, F., Margolis, D. J., Thoeny, H. C., Verma, S., Barroilhet, L., Weinreb, J. C., & Purysko, A. S. (2019). Prostate Imaging Reporting and Data System Version 2.1: 2019 Update of Prostate Imaging Reporting and Data System Version 2. European Urology, 76(3), 340-351. https://doi.org/10.1016/j.eururo.2019.02.033
  3. 3.Weinreb, J. C., Barentsz, J. O., Choyke, P. L., Cornud, F., Haider, M. A., Macura, K. J., Margolis, D., Schnall, M. D., Shtern, F., Tempany, C. M., Thoeny, H. C., & 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
  4. 4.Sung, H., Ferlay, J., Siegel, R. L., Laversanne, M., Soerjomataram, I., Jemal, A., & Bray, F. (2021). Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA: A Cancer Journal for Clinicians, 71(3), 209-249. https://doi.org/10.3322/caac.21660
  5. 5.Greer, M. D., Brown, A. M., Shih, J. H., Summers, R. M., Marko, J., Law, Y. M., Sankineni, S., George, A. K., Merino, M. J., Pinto, P. A., Choyke, P. L., & Turkbey, B. (2017). Accuracy and agreement of PIRADSv2 for prostate cancer mpMRI: A multireader study. Journal of Magnetic Resonance Imaging, 45(2), 579-585. https://doi.org/10.1002/jmri.25645
  6. 6.Litjens, G., Kooi, T., Bejnordi, B. E., Setio, A. A. A., Ciompi, F., Ghafoorian, M., van der Laak, J. A. W. M., van Ginneken, B., & Sánchez, C. I. (2017). A survey on deep learning in medical image analysis. Medical Image Analysis, 42, 60-88. https://doi.org/10.1016/j.media.2017.07.005
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247 Health News Editorial

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