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Artificial Intelligence in Andrology: From Semen Analysis to Image Diagnostics

Ghayda RA 1 , Cannarella R 2 , Calogero AE 2 , Shah R 3 , Rambhatla A 4 , Zohdy W 5 Show all authors , Kavoussi P 6 , Avidor-Reiss T 7 , Boitrelle F 8 , Mostafa T 9 , Saleh R 10 , Toprak T 11 , Birowo P 12 , Salvio G 13 , Calik G 14 , Kuroda S 15 , Kaiyal RS 15 , Ziouziou I 16 , Crafa A 2 , Phuoc NHV 17 , Russo GI 18 , Durairajanayagam D 19 , Al-Hashimi M 20 , Hamoda TAA 21 , Pinggera GM 22 , Adriansjah R 23 , Maldonado Rosas I 24 , Arafa M 25 , Chung E 26 , Atmoko W 12 , Rocco L 27 , Lin H 28 , Huyghe E 29 , Kothari P 30 , Solorzano Vazquez JF 24 , Dimitriadis F 31 , Garrido N 32 , Homa S 33 , Falcone M 34 , Sabbaghian M 35 , Kandil H 36 , Ko E 37 , Martinez M 38 , Nguyen Q 38 , Harraz AM 39 , Serefoglu EC 40 , Karthikeyan VS 41 , Tien DMB 17 , Jindal S 42 , Micic S 43 , Bellavia M 44 , Alali H 45 , Gherabi N 46 , Lewis S 47 , Park HJ 48 , Simopoulou M 49 , Sallam H 50 , Ramirez L 24 , Colpi G 44 , Agarwal A 51 , Global Andrology Forum

Affiliations 

  • 1 Urology Institute, University Hospitals, Case Western Reserve University, Cleveland, OH, USA
  • 2 Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy
  • 3 Department of Urology, Lilavati Hospital and Research Centre, Mumbai, India
  • 4 Department of Urology, Henry Ford Health System, Vattikuti Urology Institute, Detroit, MI, USA
  • 5 Andrology and STDs, Cairo University, Cairo, Egypt
  • 6 Department of Urology, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
  • 7 Department of Biological Sciences, University of Toledo, Toledo, OH, USA
  • 8 Reproductive Biology, Fertility Preservation, Andrology, CECOS, Poissy Hospital, Poissy, France
  • 9 Andrology, Sexology & STIs Department, Faculty of Medicine, Cairo University, Cairo, Egypt
  • 10 Department of Dermatology, Venereology and Andrology, Faculty of Medicine, Sohag University, Sohag, Egypt
  • 11 Department of Urology, Fatih Sultan Mehmet Training and Research Hospital, University of Health Sciences, Istanbul, Turkey
  • 12 Department of Urology, Dr. Cipto Mangunkusumo Hospital, Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia
  • 13 Department of Endocrinology, Polytechnic University of Marche, Ancona, Italy
  • 14 Department of Urology, Istanbul Medipol University, Istanbul, Turkey
  • 15 Glickman Urological & Kidney Institute, Cleveland Clinic Foundation, Cleveland, OH, USA
  • 16 Department of Urology, College of Medicine and Pharmacy, Ibn Zohr University, Agadir, Morocco
  • 17 Department of Andrology, Binh Dan Hospital, Ho Chi Minh City, Vietnam
  • 18 Urology Section, University of Catania, Catania, Italy
  • 19 Department of Physiology, Faculty of Medicine, Universiti Teknologi MARA, Sungai Buloh Campus, Selangor, Malaysia
  • 20 Department of Urology, Burjeel Hospital, Abu Dhabi, United Arab Emirates (UAE)
  • 21 Department of Urology, King Abdulaziz University, Jeddah, Saudi Arabia
  • 22 Department of Urology, Innsbruck Medical University, Innsbruck, Austria
  • 23 Department of Urology, Hasan Sadikin General Hospital, Universitas Padjadjaran, Banding, Indonesia
  • 24 IVF Laboratory, CITMER Reproductive Medicine, Mexico City, Mexico
  • 25 Department of Urology, Hamad Medical Corporation, Doha, Qatar
  • 26 Department of Urology, Princess Alexandra Hospital, University of Queensland, Brisbane QLD, Australia
  • 27 Department of Environmental, Biological and Pharmaceutical Sciences and Technologies, University of Campania "Luigi Vanvitelli", Caserta, Italy
  • 28 Department of Urology, Peking University Third Hospital, Peking University, Beijing, China
  • 29 Department of Urology and Andrology, University Hospital of Toulouse, Toulouse, France
  • 30 Department of Urology, B.Y.L. Nair Charitable Hospital, Topiwala National Medical College, Mumbai, India
  • 31 Department of Urology, Aristotle University of Thessaloniki, Thessaloniki, Greece
  • 32 IVIRMA Global Research Alliance, IVI Foundation, Instituto de Investigación Sanitaria La Fe (IIS La Fe), Valencia, Spain
  • 33 Department of Biosciences, University of Kent, Canterbury, United Kingdom
  • 34 Department of Urology, Molinette Hospital, A.O.U. Città della Salute e della Scienza, University of Turin, Torino, Italy
  • 35 Department of Andrology, Reproductive Biomedicine Research Center, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran
  • 36 Fakih IVF Fertility Center, Abu Dhabi, UAE
  • 37 Department of Urology, Loma Linda University Health, Loma Linda, CA, USA
  • 38 Section of Urology, Department of Surgery, University of Santo Tomas Hospital, Manila, Philippines
  • 39 Urology and Nephrology Center, Mansoura University, Mansoura, Egypt
  • 40 Department of Urology, Biruni University School of Medicine, Istanbul, Turkey
  • 41 Andrology Unit, Department of Urology, Apollo Hospitals, Chennai, India
  • 42 Department of Andrology and Reproductive Medicine, Jindal Hospital, Meerut, India
  • 43 Department of Andrology, Uromedica Polyclinic, Belgrade, Serbia
  • 44 Andrology and IVF Center, Next Fertility Procrea, Lugano, Switzerland
  • 45 King Fahad Specialist Hospital, Dammam, Saudi Arabia
  • 46 Andrology Committee of the Algerian Association of Urology, Algiers, Algeria
  • 47 Examen Lab Ltd., Northern Ireland, United Kingdom
  • 48 Department of Urology, Pusan National University School of Medicine, Busan, Korea
  • 49 Department of Experimental Physiology, School of Health Sciences, Faculty of Medicine, National and Kapodistrian University of Athens, Athens, Greece
  • 50 Alexandria University Faculty of Medicine, Alexandria, Egypt
  • 51 Global Andrology Forum, Moreland Hills, OH, USA
World J Mens Health, 2024 Jan;42(1):39-61.
PMID: 37382282 DOI: 10.5534/wjmh.230050

Abstract

Artificial intelligence (AI) in medicine has gained a lot of momentum in the last decades and has been applied to various fields of medicine. Advances in computer science, medical informatics, robotics, and the need for personalized medicine have facilitated the role of AI in modern healthcare. Similarly, as in other fields, AI applications, such as machine learning, artificial neural networks, and deep learning, have shown great potential in andrology and reproductive medicine. AI-based tools are poised to become valuable assets with abilities to support and aid in diagnosing and treating male infertility, and in improving the accuracy of patient care. These automated, AI-based predictions may offer consistency and efficiency in terms of time and cost in infertility research and clinical management. In andrology and reproductive medicine, AI has been used for objective sperm, oocyte, and embryo selection, prediction of surgical outcomes, cost-effective assessment, development of robotic surgery, and clinical decision-making systems. In the future, better integration and implementation of AI into medicine will undoubtedly lead to pioneering evidence-based breakthroughs and the reshaping of andrology and reproductive medicine.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

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