Center for Robotic Simulation & Education, Department of Urology, USC Institute of Urology, University of Southern California, Catherine & Joseph Aresty1441 Eastlake Avenue Suite 7416, Los Angeles, CA, 90089, USA.
Curr Urol Rep. 2023 May;24(5):231-240. doi: 10.1007/s11934-023-01149-6. Epub 2023 Feb 18.
This review aims to explore the current state of research on the use of artificial intelligence (AI) in the management of prostate cancer. We examine the various applications of AI in prostate cancer, including image analysis, prediction of treatment outcomes, and patient stratification. Additionally, the review will evaluate the current limitations and challenges faced in the implementation of AI in prostate cancer management.
Recent literature has focused particularly on the use of AI in radiomics, pathomics, the evaluation of surgical skills, and patient outcomes. AI has the potential to revolutionize the future of prostate cancer management by improving diagnostic accuracy, treatment planning, and patient outcomes. Studies have shown improved accuracy and efficiency of AI models in the detection and treatment of prostate cancer, but further research is needed to understand its full potential as well as limitations.
本综述旨在探讨人工智能（AI）在前列腺癌管理中的应用研究现状。我们研究了 AI 在前列腺癌中的各种应用，包括图像分析、治疗结果预测和患者分层。此外，本综述还将评估当前在 AI 应用于前列腺癌管理方面面临的局限性和挑战。
最近的文献特别关注 AI 在放射组学、病理组学、手术技能评估和患者预后方面的应用。AI 有可能通过提高诊断准确性、治疗计划和患者预后来彻底改变前列腺癌管理的未来。研究表明，AI 模型在前列腺癌的检测和治疗中具有更高的准确性和效率，但仍需要进一步研究以了解其全部潜力及其局限性。
