However, despite the growing body of evidence supporting ML’s potential, and that there has been a surge in research focused on the diagnosis, prognosis, and outcome prediction of PCa, driven by advancements in statistical techniques and AI [10], the literature remains sparse regarding the use of AI-based models for identifying individuals who require a prostate biopsy, and there remains a scarcity of studies integrating PSA values, mpMRI findings, and hematologic parameters to predict the necessity of prostate biopsy. This evidence concerns the gene KLK3 and posterior cortical atrophy.