Machine learning tool for predicting mature oocyte yield and trigger day from start of stimulation: towards personalized treatment.

Journal: Reproductive biomedicine online

PMID: 39708575

Abstract

RESEARCH QUESTION: Can machine learning tools predict the number of metaphase II (MII) oocytes and trigger day at the start of the ovarian stimulation cycle?

Authors

Akhil Garg

Faculty of Medicine, McGill University, Montréal, Québec, Canada.
Jose Bellver

IVIRMA Valencia, Spain; Health Research Institute la Fe, Valencia, Spain; Department of Pediatrics, Obstetrics and Gynecology, Faculty of Medicine, University of Valencia, Spain.
Ernesto Bosch

Instituto Valenciano de Infertilidad (IVI-RMA), Valencia, Spain.
Jose Alejandro Remohi

IVI-RMA Valencia, Valencia, Spain.
Antonio Pellicer

IVIRMA Rome, Italy.
Marcos Meseguer

Instituto Valenciano de Infertilidad (IVI) Valencia, INCLIVA-Universidad de Valencia, Valencia, Spain.

Keywords

Adult Algorithms Female Humans Machine Learning Oocyte Retrieval Oocytes Ovulation Induction Precision Medicine Retrospective Studies

External Resources

View on PubMed Access via DOI PubMed (39708575)

Machine learning tool for predicting mature oocyte yield and trigger day from start of stimulation: towards personalized treatment.

Abstract

Authors

Keywords

External Resources

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