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Abstract Introduction The growing influence of artificial intelligence (AI) in medicine has extended to the field of robotic urology, holding the promise of enhancing diagnostic precision, patient safety, and overall efficiency in surgical procedures. This study aims to explore the current state of AI in robotic urology and its potential applications. Method A systematic review was conducted on AI utilization in robotic urology, encompassing relevant articles published from 2015 to 2022. Databases including PubMed, Scopus, and Web of Science were searched for studies focusing on AI's role in procedures like prostatectomy, nephrectomy, and cystectomy. Results The review revealed significant strides in integrating AI within robotic urology across three key domains:Image Guidance: AI enhances tumour identification and targeting during robot-assisted surgeries, minimizing errors and improving surgical outcomes.Surgical Planning: AI aids in creating 3D patient anatomical models, facilitating pre-surgery planning, and reducing operation time.Skill Assessment: AI algorithms provide real-time feedback on surgeons' techniques, contributing to improved training and consistent surgical outcomes. Conclusions This review highlights the substantial potential of AI in elevating the quality of robotic urological procedures. Its implementation may lead to more accurate diagnoses, streamlined surgeries, reduced complications, improved patient outcomes, and potential cost savings. Future research should concentrate on refining adaptable AI technologies that seamlessly integrate with existing robotic systems and provide real-time surgeon feedback. Nevertheless, comprehensive research, validation, and ethical considerations are essential before AI can be integrated into routine clinical practice.
George Shaker (Mon,) studied this question.