KLK3 and posterior cortical atrophy: Key predictors included total and free prostate-specific antigen (PSA) levels, hemoglobin, BMI, and fish consumption.<h4>Conclusion</h4>Machine learning can enhance and personalize the identification of potential risks of PCa, but more research is necessary to refine these algorithms and address data biases.