Artificial Intelligence in Andrology: From Semen Analysis to Image Diagnostics
Ramy Abou Ghayda, Rossella Cannarella, Aldo E. Calogero, Rupin Shah, Amarnath Rambhatla, Wael Zohdy, Parviz K. Kavoussi, Tomer Avidor‐Reiss, Florence Boitrelle, Taymour Mostafa, Ramadan Saleh, Tuncay Toprak, Ponco Birowo, Gianmaria Salvio, Gökhan Çalık, Shinnosuke Kuroda, Raneen Sawaid Kaiyal, Imad Ziouziou, Andrea Crafa, Nguyen Ho Vinh Phuoc, Giorgio Ivan Russo, Damayanthi Durairajanayagam, Manaf Al Hashimi, Taha Abo-Almagd Abdel-Meguid Hamoda, Germar‐Michael Pinggera, Ricky Adriansjah, Israel Maldonado Rosas, Mohamed Arafa, Eric Chung, Widi Atmoko, Lucia Rocco, Haocheng Lin, É. Huyghe, Priyank Kothari, Jesus Fernando Solorzano Vazquez, Fotios Dimitriadis, Nicolás Garrido, Sheryl T. Homa, Marco Falcone, Marjan Sabbaghian, Hussein Kandil, Edmund Ko, Marlon Martínez, Quang Nguyen, Ahmed M. Harraz, Ege Can Şerefoğlu, Vilvapathy Senguttuvan Karthikeyan, Dung Mai Ba Tien, Sunil Jindal, S. Mičić, Marina Bellavia, Hamed Alali, Nazim Gherabi, Sheena Lewis, Hyun Jun Park, Mara Simopoulou, Hassan Sallam, Liliana Berenice Ramirez Dominguez, Giovanni M. Colpi, Ashok Agarwal, Global Andrology Forum
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.