Artificial intelligence and assisted reproductive technologies: 2023. Ready for prime time? Or not.

artificial intelligence assisted reproductive technology deep learning electronic medical records in vitro fertilization

Journal

Fertility and sterility
ISSN: 1556-5653
Titre abrégé: Fertil Steril
Pays: United States
ID NLM: 0372772

Informations de publication

Date de publication:
07 2023
Historique:
received: 04 05 2023
revised: 11 05 2023
accepted: 15 05 2023
medline: 23 6 2023
pubmed: 21 5 2023
entrez: 20 5 2023
Statut: ppublish

Résumé

Artificial intelligence has transformed many aspects of health care from image analysis to clinical decision making. Its evolution in medicine has been gradual and deliberate with several unanswered questions regarding efficiency, privacy, and bias. These artificial intelligence-based tools have relevance to assisted reproductive technologies with opportunities to impact informed consent, day-to-day management of ovarian stimulation, oocyte and embryo selection, and workflow. However, implementation must be an informed, cautious, and circumspect process to maximize outcomes and improve the clinical experience for patients and providers alike.

Identifiants

pubmed: 37210064
pii: S0015-0282(23)00517-4
doi: 10.1016/j.fertnstert.2023.05.146
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

32-37

Informations de copyright

Copyright © 2023 American Society for Reproductive Medicine. Published by Elsevier Inc. All rights reserved.

Auteurs

Gerard Letterie (G)

Seattle Reproductive Medicine, Seattle, Washington. Electronic address: Gerard.letterie@seattlefetility.com.

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Classifications MeSH