Artificial Intelligence in in-vitro fertilization (IVF): A New Era of Precision and Personalization in Fertility Treatments.

Autor: Olawade DB; Department of Allied and Public Health, School of Health, Sport and Bioscience, University of East London, London, United Kingdom; Department of Research and Innovation, Medway NHS Foundation Trust, Gillingham ME7 5NY, United Kingdom; Department of Public Health, York St John University, London, United Kingdom. Electronic address: d.olawade@uel.ac.uk., Teke J; Department of Research and Innovation, Medway NHS Foundation Trust, Gillingham ME7 5NY, United Kingdom; Faculty of Medicine, Health and Social Care, Canterbury Christ Church University, United Kingdom., Adeleye KK; Elaine Marieb College of Nursing, University of Massachusetts, Amherst MA, USA., Weerasinghe K; Department of Research and Innovation, Medway NHS Foundation Trust, Gillingham ME7 5NY, United Kingdom., Maidoki M; Department of General Surgery, Medway NHS Foundation Trust, Gillingham ME7 5NY, United Kingdom., David-Olawade AC; Endoscopy Unit, Glenfield Hospital, University Hospitals of Leicester, NHS Trust, Leicester, United Kingdom.

Publikováno v: Journal of gynecology obstetrics and human reproduction [J Gynecol Obstet Hum Reprod] 2024 Dec 27, pp. 102903. Date of Electronic Publication: 2024 Dec 27.