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...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:	World Journal of Men's Health
المؤلف الرئيسي:	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.
التنسيق:	مقال
اللغة:	English
منشور في:	Korean Society for Sexual Medicine and Andrology 2024
الوصول للمادة أونلاين:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85176802143&doi=10.5534%2fwjmh.230050&partnerID=40&md5=056dea9603857fca65d7da0c714ee262

الوصف
الملخص:	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.
تدمد:	22874208
DOI:	10.5534/wjmh.230050

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