Artificial Intelligence in Andrology: From Semen Analysis to Image Diagnostics - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Access content directly
Journal Articles The World Journal of Men's Health Year : 2023

Artificial Intelligence in Andrology: From Semen Analysis to Image Diagnostics

1 Case Western Reserve University [Cleveland]
2 University of Catania [Italy]
3 Cleveland Clinic
4 Lilavati Hospital and Research Centre
5 Vattikuti Urology Institute
6 Cairo University
7 University of Texas Health Science Center at San Antonio [San Antonio, Tx, USA]
8 University of Toledo
9 CHI Poissy-Saint-Germain
10 BREED - Biologie de la Reproduction, Environnement, Epigénétique & Développement
11 Sohag University
12 Fatih University
13 Cipto Mangunkusumo Hospital [Jakarta]
14 UNIVPM - Università Politecnica delle Marche [Ancona]
15 Istanbul Medipol University
16 YCU - Yokohama City University
17 Université Ibn Zohr [Agadir]
18 University of Medicine Pham Ngoc Thach
19 UiTM - Universiti Teknologi MARA [Shah Alam]
20 Burjeel Hospital
21 Khalifa University
22 King Abdulaziz University
23 Minia University
24 IMU - Innsbruck Medical University = Medizinische Universität Innsbruck
25 UnPad - Universitas Padjadjaran
26 Hamad medical corporation
27 Weill Cornell Medicine [Qatar]
28 University of Queensland [Brisbane]
29 Università degli studi della Campania "Luigi Vanvitelli" = University of the Study of Campania Luigi Vanvitelli
30 Peking University [Beijing]
31 Aristotle University of Thessaloniki
32 University of Kent [Canterbury]
33 Molinette Hospital
34 Royan Institute for Reproductive Biomedicine [Tehran, Iran]
35 Loma Linda University
36 University of Santo Tomas [Manila, Philippines]
37 VNU - Vietnam National University [Hanoï]
38 Mansoura University [Egypt]
39 Biruni University
40 Pusan National University
41 NKUA - National and Kapodistrian University of Athens
42 Alexandria University [Alexandrie]
Aldo E Calogero
Rupin Shah
Amarnath Rambhatla
Wael Zohdy
Tomer Avidor-Reiss
Taymour Mostafa
Ramadan Saleh
Tuncay Toprak
Ponco Birowo
Gokhan Calik
Raneen Sawaid Kaiyal
Imad Ziouziou
Andrea Crafa
Giorgio I Russo
Manaf Al-Hashimi
Ricky Adriansjah
Israel Maldonado Rosas
Eric Chung
Widi Atmoko
Haocheng Lin
Eric Huyghe
Priyank Kothari
Jesus Fernando Solorzano Vazquez
Nicolas Garrido
Sheryl Homa
Marco Falcone
Hussein Kandil
Edmund Ko
Ahmed M Harraz
Ege Can Serefoglu
Vilvapathy Senguttuvan Karthikeyan
Dung Mai Ba Tien
Sunil Jindal
Sava Micic
Marina Bellavia
Hamed Alali
Nazim Gherabi
Sheena Lewis
Hyun Jun Park
Hassan Sallam
Liliana Ramirez
Giovanni Colpi
Ashok Agarwal
  • Function : Author


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.
Fichier principal
Vignette du fichier
2074WJMH_wjmh-41-e57.pdf (2.75 Mo) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-04148731 , version 1 (03-07-2023)



Ramy Abou Ghayda, Rossella Cannarella, Aldo E Calogero, Rupin Shah, Amarnath Rambhatla, et al.. Artificial Intelligence in Andrology: From Semen Analysis to Image Diagnostics. The World Journal of Men's Health, 2023, 41, ⟨10.5534/wjmh.230050⟩. ⟨hal-04148731⟩
10 View
20 Download



Gmail Facebook Twitter LinkedIn More