Artificial Intelligence in Andrology: From Semen Analysis to Image Diagnostics

Artificial Intelligence in Andrology: From Semen Analysis to Image Diagnostics

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. Simi...

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Published in:World Journal of Men's Health
Main Author: Ghayda R.A.; Cannarella R.; Calogero A.E.; Shah R.; Rambhatla A.; Zohdy W.; Kavoussi P.; Avidor-Reiss T.; Boitrelle F.; Mostafa T.; Saleh R.; Toprak T.; Birowo P.; Salvio G.; Calik G.; Kuroda S.; Kaiyal R.S.; Ziouziou I.; Crafa A.; Phuoc N.H.V.; Russo G.I.; Durairajanayagam D.; Al-Hashimi M.; Hamoda T.A.-A.A.-M.; Pinggera G.-M.; Adriansjah R.; Rosas I.M.; Arafa M.; Chung E.; Atmoko W.; Rocco L.; Lin H.; Huyghe E.; Kothari P.; Vazquez J.F.S.; Dimitriadis F.; Garrido N.; Homa S.; Falcone M.; Sabbaghian M.; Kandil H.; Ko E.; Martinez M.; Nguyen Q.; Harraz A.M.; Serefoglu E.C.; Karthikeyan V.S.; Ba Tien D.M.; Jindal S.; Micic S.; Bellavia M.; Alali H.; Gherabi N.; Lewis S.; Park H.J.; Simopoulou M.; Sallam H.; Ramirez L.; Colpi G.; Agarwal A.
Format: Article
Language:English
Published: Korean Society for Sexual Medicine and Andrology 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85176802143&doi=10.5534%2fwjmh.230050&partnerID=40&md5=056dea9603857fca65d7da0c714ee262
id 2-s2.0-85176802143
spelling 2-s2.0-85176802143
Ghayda R.A.; Cannarella R.; Calogero A.E.; Shah R.; Rambhatla A.; Zohdy W.; Kavoussi P.; Avidor-Reiss T.; Boitrelle F.; Mostafa T.; Saleh R.; Toprak T.; Birowo P.; Salvio G.; Calik G.; Kuroda S.; Kaiyal R.S.; Ziouziou I.; Crafa A.; Phuoc N.H.V.; Russo G.I.; Durairajanayagam D.; Al-Hashimi M.; Hamoda T.A.-A.A.-M.; Pinggera G.-M.; Adriansjah R.; Rosas I.M.; Arafa M.; Chung E.; Atmoko W.; Rocco L.; Lin H.; Huyghe E.; Kothari P.; Vazquez J.F.S.; Dimitriadis F.; Garrido N.; Homa S.; Falcone M.; Sabbaghian M.; Kandil H.; Ko E.; Martinez M.; Nguyen Q.; Harraz A.M.; Serefoglu E.C.; Karthikeyan V.S.; Ba Tien D.M.; Jindal S.; Micic S.; Bellavia M.; Alali H.; Gherabi N.; Lewis S.; Park H.J.; Simopoulou M.; Sallam H.; Ramirez L.; Colpi G.; Agarwal A.
Artificial Intelligence in Andrology: From Semen Analysis to Image Diagnostics
2024
World Journal of Men's Health
42
1
10.5534/wjmh.230050
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85176802143&doi=10.5534%2fwjmh.230050&partnerID=40&md5=056dea9603857fca65d7da0c714ee262
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. Copyright © 2024 Korean Society for Sexual Medicine and Andrology.
Korean Society for Sexual Medicine and Andrology
22874208
English
Article
All Open Access; Gold Open Access
author Ghayda R.A.; Cannarella R.; Calogero A.E.; Shah R.; Rambhatla A.; Zohdy W.; Kavoussi P.; Avidor-Reiss T.; Boitrelle F.; Mostafa T.; Saleh R.; Toprak T.; Birowo P.; Salvio G.; Calik G.; Kuroda S.; Kaiyal R.S.; Ziouziou I.; Crafa A.; Phuoc N.H.V.; Russo G.I.; Durairajanayagam D.; Al-Hashimi M.; Hamoda T.A.-A.A.-M.; Pinggera G.-M.; Adriansjah R.; Rosas I.M.; Arafa M.; Chung E.; Atmoko W.; Rocco L.; Lin H.; Huyghe E.; Kothari P.; Vazquez J.F.S.; Dimitriadis F.; Garrido N.; Homa S.; Falcone M.; Sabbaghian M.; Kandil H.; Ko E.; Martinez M.; Nguyen Q.; Harraz A.M.; Serefoglu E.C.; Karthikeyan V.S.; Ba Tien D.M.; Jindal S.; Micic S.; Bellavia M.; Alali H.; Gherabi N.; Lewis S.; Park H.J.; Simopoulou M.; Sallam H.; Ramirez L.; Colpi G.; Agarwal A.
spellingShingle Ghayda R.A.; Cannarella R.; Calogero A.E.; Shah R.; Rambhatla A.; Zohdy W.; Kavoussi P.; Avidor-Reiss T.; Boitrelle F.; Mostafa T.; Saleh R.; Toprak T.; Birowo P.; Salvio G.; Calik G.; Kuroda S.; Kaiyal R.S.; Ziouziou I.; Crafa A.; Phuoc N.H.V.; Russo G.I.; Durairajanayagam D.; Al-Hashimi M.; Hamoda T.A.-A.A.-M.; Pinggera G.-M.; Adriansjah R.; Rosas I.M.; Arafa M.; Chung E.; Atmoko W.; Rocco L.; Lin H.; Huyghe E.; Kothari P.; Vazquez J.F.S.; Dimitriadis F.; Garrido N.; Homa S.; Falcone M.; Sabbaghian M.; Kandil H.; Ko E.; Martinez M.; Nguyen Q.; Harraz A.M.; Serefoglu E.C.; Karthikeyan V.S.; Ba Tien D.M.; Jindal S.; Micic S.; Bellavia M.; Alali H.; Gherabi N.; Lewis S.; Park H.J.; Simopoulou M.; Sallam H.; Ramirez L.; Colpi G.; Agarwal A.
Artificial Intelligence in Andrology: From Semen Analysis to Image Diagnostics
author_facet Ghayda R.A.; Cannarella R.; Calogero A.E.; Shah R.; Rambhatla A.; Zohdy W.; Kavoussi P.; Avidor-Reiss T.; Boitrelle F.; Mostafa T.; Saleh R.; Toprak T.; Birowo P.; Salvio G.; Calik G.; Kuroda S.; Kaiyal R.S.; Ziouziou I.; Crafa A.; Phuoc N.H.V.; Russo G.I.; Durairajanayagam D.; Al-Hashimi M.; Hamoda T.A.-A.A.-M.; Pinggera G.-M.; Adriansjah R.; Rosas I.M.; Arafa M.; Chung E.; Atmoko W.; Rocco L.; Lin H.; Huyghe E.; Kothari P.; Vazquez J.F.S.; Dimitriadis F.; Garrido N.; Homa S.; Falcone M.; Sabbaghian M.; Kandil H.; Ko E.; Martinez M.; Nguyen Q.; Harraz A.M.; Serefoglu E.C.; Karthikeyan V.S.; Ba Tien D.M.; Jindal S.; Micic S.; Bellavia M.; Alali H.; Gherabi N.; Lewis S.; Park H.J.; Simopoulou M.; Sallam H.; Ramirez L.; Colpi G.; Agarwal A.
author_sort Ghayda R.A.; Cannarella R.; Calogero A.E.; Shah R.; Rambhatla A.; Zohdy W.; Kavoussi P.; Avidor-Reiss T.; Boitrelle F.; Mostafa T.; Saleh R.; Toprak T.; Birowo P.; Salvio G.; Calik G.; Kuroda S.; Kaiyal R.S.; Ziouziou I.; Crafa A.; Phuoc N.H.V.; Russo G.I.; Durairajanayagam D.; Al-Hashimi M.; Hamoda T.A.-A.A.-M.; Pinggera G.-M.; Adriansjah R.; Rosas I.M.; Arafa M.; Chung E.; Atmoko W.; Rocco L.; Lin H.; Huyghe E.; Kothari P.; Vazquez J.F.S.; Dimitriadis F.; Garrido N.; Homa S.; Falcone M.; Sabbaghian M.; Kandil H.; Ko E.; Martinez M.; Nguyen Q.; Harraz A.M.; Serefoglu E.C.; Karthikeyan V.S.; Ba Tien D.M.; Jindal S.; Micic S.; Bellavia M.; Alali H.; Gherabi N.; Lewis S.; Park H.J.; Simopoulou M.; Sallam H.; Ramirez L.; Colpi G.; Agarwal A.
title Artificial Intelligence in Andrology: From Semen Analysis to Image Diagnostics
title_short Artificial Intelligence in Andrology: From Semen Analysis to Image Diagnostics
title_full Artificial Intelligence in Andrology: From Semen Analysis to Image Diagnostics
title_fullStr Artificial Intelligence in Andrology: From Semen Analysis to Image Diagnostics
title_full_unstemmed Artificial Intelligence in Andrology: From Semen Analysis to Image Diagnostics
title_sort Artificial Intelligence in Andrology: From Semen Analysis to Image Diagnostics
publishDate 2024
container_title World Journal of Men's Health
container_volume 42
container_issue 1
doi_str_mv 10.5534/wjmh.230050
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85176802143&doi=10.5534%2fwjmh.230050&partnerID=40&md5=056dea9603857fca65d7da0c714ee262
description 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. Copyright © 2024 Korean Society for Sexual Medicine and Andrology.
publisher Korean Society for Sexual Medicine and Andrology
issn 22874208
language English
format Article
accesstype All Open Access; Gold Open Access
record_format scopus
collection Scopus
_version_ 1812871796866678784

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