Advancements in artificial intelligence for prostate cancer: Optimizing diagnosis, treatment, and prognostic assessment.

ABSTRACT:

Objective

This review provides a comprehensive overview of the current research landscape on artificial intelligence (AI) in prostate cancer (PCa) management, highlighting its potential to enhance diagnosis, improve medical image quality, facilitate risk stratification, and aid prognosis. The review also identifies opportunities and challenges associated with integrating AI into clinical practice.

Methods

This review synthesizes findings from recent studies on AI applications in PCa management. It examines the use of machine learning and deep learning techniques in diagnostic imaging, surgical skill assessment, and outcome prediction. The analysis emphasizes empirical evidence demonstrating the efficacy and limitations of AI models in clinical settings.

Results

AI, pa

SUBMITTER: Arita Y 

PROVIDER: S-EPMC12744706 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature