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Online First

10.4103/aja202431

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

Calogero, Aldo E1,2; Crafa, Andrea1,2; Cannarella, Rossella1,2,3; Saleh, Ramadan2,4,5; Shah, Rupin2,6; Agarwal, Ashok2,7

1Department of Clinical and Experimental Medicine, University of Catania, Catania 95123, Italy

2Global Andrology Forum, Moreland Hills, OH 44022, USA

3Glickman Urological and Kidney Institute, Cleveland Clinic Foundation, Cleveland, OH 44195, USA

4Department of Dermatology, Venereology and Andrology, Faculty of Medicine, Sohag University, Sohag 82524, Egypt

5Ajyal IVF Center, Ajyal Hospital, Sohag 82511, Egypt

6Division of Andrology, Department of Urology, Lilavati Hospital and Research Centre, Mumbai 400050, India

7Cleveland Clinic Foundation, Cleveland, OH 44195, USA

Correspondence: Dr. A Agarwal (agarwaa32099@outlook.com)

Originally published: July 09, 2024 Received: December 13, 2023 Accepted: March 25, 2024

Abstract

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.

Keywords: andrology; artificial intelligence; assisted reproductive technique; machine learning; male infertility

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Asian Journal of Andrology CN 31-1795/R ISSN 1008-682X  Copyright © 2023  Shanghai Materia Medica, Chinese Academy of Sciences.  All rights reserved.