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Review
. 2024 Jan;42(1):39-61.
doi: 10.5534/wjmh.230050. Epub 2023 Jun 15.

Artificial Intelligence in Andrology: From Semen Analysis to Image Diagnostics

Ramy Abou Ghayda  1 , Rossella Cannarella  2   3 , Aldo E Calogero  2 , Rupin Shah  4 , Amarnath Rambhatla  5 , Wael Zohdy  6 , Parviz Kavoussi  7 , Tomer Avidor-Reiss  8   9 , Florence Boitrelle  10   11 , Taymour Mostafa  12 , Ramadan Saleh  13 , Tuncay Toprak  14 , Ponco Birowo  15 , Gianmaria Salvio  16 , Gokhan Calik  17 , Shinnosuke Kuroda  3   18 , Raneen Sawaid Kaiyal  3 , Imad Ziouziou  19 , Andrea Crafa  2 , Nguyen Ho Vinh Phuoc  20   21 , Giorgio I Russo  22 , Damayanthi Durairajanayagam  23 , Manaf Al-Hashimi  24   25 , Taha Abo-Almagd Abdel-Meguid Hamoda  26   27 , Germar-Michael Pinggera  28 , Ricky Adriansjah  29 , Israel Maldonado Rosas  30 , Mohamed Arafa  31   32 , Eric Chung  33 , Widi Atmoko  15 , Lucia Rocco  34 , Haocheng Lin  35 , Eric Huyghe  36 , Priyank Kothari  37 , Jesus Fernando Solorzano Vazquez  30 , Fotios Dimitriadis  38 , Nicolas Garrido  39 , Sheryl Homa  40 , Marco Falcone  41 , Marjan Sabbaghian  42 , Hussein Kandil  43 , Edmund Ko  44 , Marlon Martinez  45 , Quang Nguyen  45   46   47 , Ahmed M Harraz  48   49   50 , Ege Can Serefoglu  51 , Vilvapathy Senguttuvan Karthikeyan  52 , Dung Mai Ba Tien  20 , Sunil Jindal  53 , Sava Micic  54 , Marina Bellavia  55 , Hamed Alali  56 , Nazim Gherabi  57 , Sheena Lewis  58 , Hyun Jun Park  59   60 , Mara Simopoulou  61 , Hassan Sallam  62 , Liliana Ramirez  30 , Giovanni Colpi  55 , Ashok Agarwal  63   64 ; Global Andrology Forum
Affiliations
Review

Artificial Intelligence in Andrology: From Semen Analysis to Image Diagnostics

Ramy Abou Ghayda et al. World J Mens Health. 2024 Jan.

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.

Keywords: Andrology; Artificial intelligence; Deep learning; Diagnostic imaging; Machine learning; Neural networks, computer.

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Conflict of interest statement

The authors have nothing to disclose.

Figures

Fig. 1
Fig. 1. Number of articles on artificial intelligence and health care (A), and on artificial intelligence and andrology (B) published since the 2000s (source: Scopus; accessed on January 2023).
Fig. 2
Fig. 2. Strengths, Weaknesses, Opportunities, and Threats (SWOT) analysis.
See this image and copyright information in PMC

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