Health AI Central
Share:
Peer-Reviewed Publication
F S Sci2025;6(2):252-260.May 1, 2025Journal Article

Polycystic ovary syndrome and morphokinetic embryonic development: a case-control study evaluating 791 embryos.

Gilad Karavani1, Shira Shapira-Nass2, Natali Schachter-Safrai3, Tal Imbar4, Assaf Ben-Meir5
1In-Vitro Fertilization Unit, Department of Obstetrics and Gynecology, Hadassah Ein-Kerem Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel. Electronic address: Giladk84@gmail.com.
2Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel.
3The Raphael Recanati Genetic Institute, Rabin Medical Center, Petah Tikva, Israel.
4In-Vitro Fertilization Unit, Department of Obstetrics and Gynecology, Hadassah Ein-Kerem Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel.
5In-Vitro Fertilization Unit, Department of Obstetrics and Gynecology, Hadassah Ein-Kerem Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel; Fairtility Ltd., Tel Aviv, Israel.
PubMed DOI

Abstract

OBJECTIVE: To investigate the association between polycystic ovary syndrome (PCOS) and the rate of embryo development, using time-lapse monitoring systems, compared with a control group of women with mechanical (tubal) factor infertility. DESIGN: A retrospective case-control study conducted in a university-affiliated in vitro fertilization (IVF) unit. SUBJECTS: Women with PCOS undergoing IVF tre…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Create Free AccountSign In

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.