Explainable Artificial Intelligence in Assisted Reproductive Technology: Bridging Prediction and Clinical Judgment

<b>Background/Objectives</b>: Artificial intelligence (AI) models are increasingly applied across the assisted reproductive technology (ART) workflow, including male-factor assessment, ovarian stimulation, endometrial receptivity evaluation, embryo selection and prediction of pregnancy outcomes. How...

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Autors principals:	Nektaria Kritsotaki, Dimitrios Diamantidis, Nikoleta Koutlaki, Nikolaos Machairiotis, Panagiotis Tsikouras
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2026-04-01
Col·lecció:	Biomedicines
Matèries:	explainable artificial intelligence assisted reproductive technology in vitro fertilization embryo selection machine learning deep learning
Accés en línia:	https://www.mdpi.com/2227-9059/14/5/1024
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