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 Kavoussi; Tomer Avidor-reiss; Florence Boitrelle; Taymour Mostafa; Ramadan Saleh; Tuncay Toprak; Ponco Birowo; Gianmaria Salvio; Gokhan Calik; Shinnosuke Kuroda; Raneen Sawaid Kaiyal; Imad Ziouziou; Andrea Crafa; Nguyen Ho Vinh Phuoc; Giorgio I 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; Eric Huyghe; Priyank Kothari; Jesus Fernando Solorzano Vazquez; Fotios Dimitriadis; Nicolas Garrido; Sheryl Homa; Marco Falcone; Marjan Sabbaghian; Hussein Kandil; KO Edmund; Marlon Martinez; Quang Nguyen; 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; Mara Simopoulou; Hassan Sallam; Liliana Ramirez; Giovanni Colpi; Ashok Agarwal

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Artificial Intelligence in Andrology: From Semen Analysis to Image Diagnostics

Author: Ramy Abou GHAYDA ¹ ; Rossella CANNARELLA ; Aldo E. CALOGERO ; Rupin SHAH ; Amarnath RAMBHATLA ; Wael ZOHDY ; Parviz KAVOUSSI ; Tomer AVIDOR-REISS ; Florence BOITRELLE ; Taymour MOSTAFA ; Ramadan SALEH ; Tuncay TOPRAK ; Ponco BIROWO ; Gianmaria SALVIO ; Gokhan CALIK ; Shinnosuke KURODA ; Raneen Sawaid KAIYAL ; Imad ZIOUZIOU ; Andrea CRAFA ; Nguyen Ho Vinh PHUOC ; Giorgio I. 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 ; Eric HUYGHE ; Priyank KOTHARI ; Jesus Fernando Solorzano VAZQUEZ ; Fotios DIMITRIADIS ; Nicolas GARRIDO ; Sheryl HOMA ; Marco FALCONE ; Marjan SABBAGHIAN ; Hussein KANDIL ; Edmund KO ; Marlon MARTINEZ ; Quang NGUYEN ; 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 ; Mara SIMOPOULOU ; Hassan SALLAM ; Liliana RAMIREZ ; Giovanni COLPI ; Ashok AGARWAL ;
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1. Urology Institute, University Hospitals, Case Western Reserve University, Cleveland, OH, USA
Publication Type:Review Article
From:The World Journal of Men's Health 2024;42(1):39-61
CountryRepublic of Korea
Language:English
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.