 |
 |
Search
- Page Path
-
- HOME
- Search
- Original Articles
- Artificial intelligence-powered oocyte evaluation: Correlating cytoplasmic features with blastocyst development
- Hyung Min Kim, Jin Heo, Hyoeun Kang, Kyungmi Juhn, Eunhye Jung, Hyejeong Park, Juhee Jin, Jinho Lim, Hye Jun Lee, Jeong Yoon
- Received July 18, 2025 Accepted September 22, 2025
-
DOI: https://doi.org/10.5653/cerm.2025.08396 [Epub ahead of print]
- Full text PubReader ePub PDF Supplementary Material
- Review Articles
- Current state of artificial intelligence applications in assisted reproductive technology: A narrative review
- Ju Hee Kim
- Received November 21, 2024 Accepted May 21, 2025
-
DOI: https://doi.org/10.5653/cerm.2024.07710 [Epub ahead of print]
- Full text PubReader ePub PDF
- Criteria for implementing artificial intelligence systems in reproductive medicine
- Enric Güell
- Clin Exp Reprod Med. 2024;51(1):1-12. Published online December 1, 2023
- Full text PubReader ePub PDF
- Editorial Office
-
Department of Obstetrics and Gynecology, Seoul National University Bundang Hospital
82 Gumi-ro 173, Bundang-gu, Seongnam 13620, Korea
Tel: +82-31-787-7254 CP: +82-10-9072-3154 E-mail: blasto@snubh.org
Copyright © 2026 by Korean Society for Reproductive Medicine.
