World J Mens Health.
2024 Jan;42(1):39-61. 10.5534/wjmh.230050.
Artificial Intelligence in Andrology: From Semen Analysis to Image Diagnostics
- Ghayda RA1
- Cannarella R2,3
- Calogero AE2
- Shah R4
- Rambhatla A5
- Zohdy W6
- Kavoussi P7
- Avidor-Reiss T8,9
- Boitrelle F10,11
- Mostafa T12
- Saleh R13
- Toprak T14
- Birowo P15
- Salvio G16
- Calik G17
- Kuroda S3,18
- Kaiyal RS3
- Ziouziou I19
- Crafa A2
- Phuoc NHV20,21
- Russo GI22
- Durairajanayagam D23
- Al-Hashimi M24,25
- Hamoda TAAAM26,27
- Pinggera GM28
- Adriansjah R29
- Rosas IM30
- Arafa M31,32
- Chung E33
- Atmoko W15
- Rocco L34
- Lin H35
- Huyghe E36
- Kothari P37
- Vazquez JFS30
- Dimitriadis F38
- Garrido N39
- Homa S40
- Falcone M41
- Sabbaghian M42
- Kandil H43
- Ko E44
- Martinez M45
- Nguyen Q45,46,47
- Harraz AM48,49,50
- Serefoglu EC51
- Karthikeyan VS52
- Tien DMB20
- Jindal S53
- Micic S54
- Bellavia M55
- Alali H56
- Gherabi N57
- Lewis S58
- Park HJ59,60
- Simopoulou M61
- Sallam H62
- Ramirez L30
- Colpi G55
- Agarwal A
63,64 - Global Andrology Forum
- Affiliations
-
- 1Urology Institute, University Hospitals, Case Western Reserve University, Cleveland, OH, USA
- 2Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy
- 3Glickman Urological & Kidney Institute, Cleveland Clinic Foundation, Cleveland, OH, USA
- 4Department of Urology, Lilavati Hospital and Research Centre, Mumbai, India
- 5Department of Urology, Henry Ford Health System, Vattikuti Urology Institute, Detroit, MI, USA
- 6Andrology and STDs, Cairo University, Cairo, Egypt
- 7Department of Urology, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
- 8Department of Biological Sciences, University of Toledo, Toledo, OH, USA
- 9Department of Urology, College of Medicine and Life Sciences, University of Toledo, Toledo, OH, USA
- 10Reproductive Biology, Fertility Preservation, Andrology, CECOS, Poissy Hospital, Poissy, France
- KMID: 2549694
- DOI: http://doi.org/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.
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