Artificial Intelligence in Andrology: From Semen Analysis to Image Diagnostics Early Access (Web of Science) Review Article (Web of Science)

Open Access International Collaboration

cited authors

  • Ghayda, Ramy Abou; Cannarella, Rossella; Calogero, Aldo E.; Shah, Rupin; Rambhatla, Amarnath; Zohdy, Wael; Kavoussi, Parviz; Avidor-Reiss, Tomer; Boitrelle, Florence; Mostafa, Taymour; Saleh, Ramadan; Toprak, Tuncay; Birowo, Ponco; Salvio, Gianmaria; Calik, Gokhan; Kuroda, Shinnosuke; Kaiyal, Raneen Sawaid; Ziouziou, Imad; Crafa, Andrea; Phuoc, Nguyen Ho Vinh; Russo, Giorgio I.; Durairajanayagam, Damayanthi; Al-Hashimi, Manaf; Hamoda, Taha Abo-Almagd Abdel-Meguid; Pinggera, Germar-Michael; Adriansjah, Ricky; Rosas, Israel Maldonado; Arafa, Mohamed; Chung, Eric; Atmoko, Widi; Rocco, Lucia; Lin, Haocheng; Huyghe, Eric; Kothari, Priyank; Vazquez, Jesus Fernando Solorzano; Dimitriadis, Fotios; Garrido, Nicolas; Homa, Sheryl; Falcone, Marco; Sabbaghian, Marjan; Kandil, Hussein; Ko, Edmund; Martinez, Marlon; Nguyen, Quang; Harraz, Ahmed M.; Serefoglu, Ege Can; Karthikeyan, Vilvapathy Senguttuvan; BaTien, Dung Mai; Jindal, Sunil; Micic, Sava; Bellavia, Marina; Alali, Hamed; Gherabi, Nazim; Lewis, Sheena; Park, Hyun Jun; Simopoulou, Mara; Sallam, Hassan; Ramirez, Liliana; Colpi, Giovanni; Agarwal, Ashok; Global Andrology Forum

publication date

  • June 15, 2023

webpage

published in

category

keywords

  • Andrology
  • Artificial intelligence
  • Deep learning
  • Diagnostic imaging
  • Machine learning
  • Neural networks
  • computer