The current state and prospects of artificial intelligence applied to prognosis prediction in prostate cancer patients

doi:10.3877/cma.j.issn.1674-3253.2024.06.002

Abstract

Abstract:

Prostate cancer is one of the most common malignant tumors among men，and its incidence is on an upward trend worldwide. The accurate prognosis prediction of prostate cancer patients is a crucial reference for formulating personalized treatment plans and long-term management，but currently there is a lack of objective，accurate，and standardized tools. In recent years，the application of artificial intelligence technology in the medical field has become increasingly extensive，especially in the prognostic prediction of prostate cancer. It has shown tremendous potential.Representative research achievements include the identification of imaging features in multiparametric magnetic resonance through machine learning models，which can achieve an accuracy rate for patient prognosis prediction that exceeds the Prostate Imaging Reporting and Data System （PI-RADS）. Additionally，through machine learning models，the identification of pathological sections can achieve an accuracy rate for patient prognosis prediction that surpasses the traditional Gleason scoring system. This article aims to review the current state of artificial intelligence in the prognostic prediction of prostate cancer，discuss the existing problems in its development，and look forward to future development trends.

Key words: Prostate cancer, Artificial intelligence, Prognosis, Biochemical recurrence, Whole slide image

Wei Li, Zijian Song, Yancheng Lai, Rui Zhou, Han Wu, Longxin Deng, Rui Chen. The current state and prospects of artificial intelligence applied to prognosis prediction in prostate cancer patients[J]. Chinese Journal of Endourology(Electronic Edition), 2024, 18(06): 541-546.

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