Hong Shucai, Zhang Heyuan
Guangdong Medical University, Zhanjiang, 524000.
Meizhou Clinical Medical College of Guangdong Medical University, Meizhou, 514031.
Zhongguo Yi Liao Qi Xie Za Zhi. 2024 Jul 30;48(4):367-372. doi: 10.12455/j.issn.1671-7104.230557.
With the continuous advancement of artificial intelligence in the field of prostate cancer research, numerous studies have shown that AI performance can rival that of physicians. This review examines the recent applications and developments of AI in the early, accurate, and non-invasive diagnosis of prostate cancer, subsequently elucidating its importance, benefits, and limitations. The review emphasizes the exploration of the potential integration of AI with multi-omics and other cutting-edge technologies. Considering the current status of AI in prostate cancer diagnosis, the review summarizes the challenges faced in the clinical adoption of AI technologies and looks forward to improved and enhanced AI-based prostate cancer diagnostic techniques. The goal is to offer a reference for the integration of artificial intelligence into clinical practice.
随着人工智能在前列腺癌研究领域的不断进步,大量研究表明人工智能的表现可与医生相媲美。本综述考察了人工智能在前列腺癌早期、准确和非侵入性诊断方面的最新应用与发展,随后阐明其重要性、益处及局限性。该综述强调探索人工智能与多组学及其他前沿技术潜在整合的可能性。考虑到人工智能在前列腺癌诊断中的现状,本综述总结了人工智能技术临床应用中面临的挑战,并展望改进和增强基于人工智能的前列腺癌诊断技术。目标是为将人工智能融入临床实践提供参考。