Exploring advancements in the management of penile cancer in the era of artificial intelligence and machine learning: a narrative review

Purpose of review: This review aims to explore the current state of literature on the use of artificial intelligence (AI) in the management of penile cancer. We examined the various applications of AI in penile cancer, including but not limited to image identification, prediction of treatment results, and patient risk stratification. The review evaluates the current limitations and challenges faced in the implementation of AI in penile cancer management. Recent findings: The present literature emphasized the use of AI using radiomics and pathomics for management strategies and outcomes. Summary: AI has the power to shape the future of penile cancer management by improving diagnostic precision, treatment strategies, and patient outcomes. Literature has shown improved accuracy and quality of current AI models for the detection and treatment of penile cancer. Further research is required to understand its potential and limitations.