Artificial intelligence in andrology-fact or fiction:essential takeaway for busy clinicians  

作　　者：Aldo E Calogero Andrea Crafa Rossella Cannarella Ramadan Saleh Rupin Shah Ashok Agarwal 

机构地区：[1]Department of Clinical and Experimental Medicine,University of Catania,Catania 95123,Italy [2]Global Andrology Forum,Moreland Hills,OH 44022,USA [3]Glickman Urological and Kidney Institute,Cleveland Clinic Foundation,Cleveland,OH 44195,USA [4]Department of Dermatology,Venereology and Andrology,Faculty of Medicine,Sohag University,Sohag 82524,Egypt [5]Ajyal IVF Center,Ajyal Hospital,Sohag 82511,Egypt [6]Division of Andrology,Department of Urology,Lilavati Hospital and Research Centre,Mumbai 400050,India [7]Cleveland Clinic Foundation,Cleveland,OH 44195,USA

出　　处：《Asian Journal of Andrology》2024年第6期600-604,共5页亚洲男性学杂志（英文版）

摘　　要：Artificial intelligence (AI) is revolutionizing the current approach to medicine. AI uses machine learning algorithms to predict the success of therapeutic procedures or assist the clinician in the decision-making process. To date, machine learning studies in the andrological field have mainly focused on prostate cancer imaging and management. However, an increasing number of studies are documenting the use of AI to assist clinicians in decision-making and patient management in andrological diseases such as varicocele or sexual dysfunction. Additionally, machine learning applications are being employed to enhance success rates in assisted reproductive techniques (ARTs). This article offers the clinicians as well as the researchers with a brief overview of the current use of AI in andrology, highlighting the current state-of-the-art scientific evidence, the direction in which the research is going, and the strengths and limitations of this approach.

关 键 词：ANDROLOGY artificial intelligence assisted reproductive technique machine learning male infertility 

分 类 号：R697[医药卫生—泌尿科学]