With the rapid increase in computer processing capacity over the past two decades, machine learning techniques have been applied in many sectors of daily life. Machine learning in therapeutic settings is also gaining popularity. We analysed current studies on machine learning in robotic urologic surgery. We searched PubMed/Medline and Google Scholar up to December 2023. Search terms included “urologic surgery”, “artificial intelligence”, “machine learning”, “neural network”, “automation”, and “robotic surgery”. Automatic preoperative imaging, intraoperative anatomy matching, and bleeding prediction has been a major focus. Early artificial intelligence (AI) therapeutic outcomes are promising. Robot-assisted surgery provides precise telemetry data and a cutting-edge viewing console to analyse and improve AI integration in surgery. Machine learning enhances surgical skill feedback, procedure effectiveness, surgical guidance, and postoperative prediction. Tension-sensors on robotic arms and augmented reality can improve surgery. This provides real-time organ motion monitoring, improving precision and accuracy. As datasets develop and electronic health records are used more and more, these technologies will become more effective and useful. AI in robotic surgery is intended to improve surgical training and experience. Both seek precision to improve surgical care. AI in ‘’master–slave’’ robotic surgery offers the detailed, step-by-step examination of autonomous robotic treatments.
随着过去二十年计算机处理能力的迅速提升,机器学习技术已广泛应用于日常生活的诸多领域。在治疗环境中应用机器学习技术也日益受到关注。本研究系统分析了当前关于机器学习在机器人泌尿外科手术中的应用进展。我们检索了截至2023年12月的PubMed/Medline和Google Scholar数据库,检索词包括"泌尿外科手术"、"人工智能"、"机器学习"、"神经网络"、"自动化"及"机器人手术"。研究重点主要集中在自动术前影像分析、术中解剖匹配及出血预测等方面。早期人工智能治疗成果显示出良好前景。机器人辅助手术通过提供精确的遥测数据和先进的可视化控制台,为分析和改进人工智能在手术中的整合创造了条件。机器学习技术能够强化手术技能反馈、提升手术效能、优化手术导航并改善术后预测。机械臂张力传感器和增强现实技术的应用可显著提升手术质量,实现实时器官运动监测,从而提高手术的精确度和准确性。随着数据集的不断完善和电子健康记录的日益普及,这些技术将变得更加高效实用。机器人手术中的人工智能技术旨在提升外科培训质量和手术体验,两者都致力于通过提高精确性来改善手术治疗效果。在主从式机器人手术系统中,人工智能技术为自主机器人治疗提供了细致入微的逐步分析能力。
Artificial Intelligence in Urologic Robotic Oncologic Surgery: A Narrative Review