Zhang Ke-Xin, Yu Zhan-Peng, Shen Tian-Yi, Tang Hao
Department of Urology, Eastern Theater General Hospital of Chinese People's Liberation Army, Nanjing， Jiangsu 210000, China.
Zhonghua Nan Ke Xue. 2023 Dec;29(12):1043-1047.
With the rise of precision medicine, the continuous expansionWith the rise of precision medicine, the continuous expansion the collective push from many other the application of Artificial Intelligence (AI) in prostate cancer diagnosis is increasingly becoming a focal point. AI technology can effectively utilize diverse detection methods such as Magnetic Resonance Imaging (MRI), Positron Emission Tomography (PET), and whole pathology slide imaging to efficiently identify and differentiate between benign and malignant lesions. The encouraging results from numerous studies herald the enormous potential of this field. This article aims to provide a comprehensive summary and analysis of the research progress made in AI for prostate cancer diagnosis, in order to better grasp the trends in this area of development.
随着精准医学的兴起，人工智能（AI）在前列腺癌诊断中的应用不断扩展，日益成为焦点。人工智能技术能够有效利用多种检测方法，如磁共振成像（MRI）、正电子发射断层扫描（PET）以及全病理切片成像，来高效识别和区分良性与恶性病变。众多研究取得的令人鼓舞的成果预示着该领域的巨大潜力。本文旨在对人工智能在前列腺癌诊断方面的研究进展进行全面总结与分析，以便更好地把握这一领域的发展趋势。
