Accurate identification of abnormal ploidy using an artificial intelligence model in preimplantation genetic testing
This study was supported by grants from Major Scientific Program of CITIC Group (No. 2023ZXKYB34100, to Ge.L.), Hunan Provincial Grant for Innovative Province Construction (2019SK4012), Hunan Xiangjiang New District (Changsha High-tech Zone) key core technology research project in 2023, and Science Foundation of Hunan Province (Grant 2023JJ30422). All authors declared no conflicts of interest..
Authors
- Senlin Zhang (ORCID: https://orcid.org/0000-0001-5117-3110)
- Yue‐Qiu Tan (ORCID: https://orcid.org/0000-0002-8359-4654)
- Liang Hu (ORCID: https://orcid.org/0000-0001-6984-834X)
- Pingyuan Xie (ORCID: https://orcid.org/0000-0002-0865-9526)
- Kaisen Yang
- Shuang Zhou (ORCID: https://orcid.org/0000-0002-3925-5479)
- Shuoping Zhang
- Ran Pang
- Guangjian Liu (ORCID: https://orcid.org/0000-0001-9275-9214)
- Luyao Zeng
- Ge Lin (ORCID: https://orcid.org/0000-0002-3877-2546)
- Jia Fei (ORCID: https://orcid.org/0000-0002-6650-7870)
- Xiaoyi Yang (ORCID: https://orcid.org/0000-0001-9248-816X)
- Lei Sun (ORCID: https://orcid.org/0000-0002-4974-9122)
- Fei Gong
Institutions
- Central South University (CN)
- Hunan Normal University (CN)
- Peking University (CN)
- Reproductive & Genetic Hospital CITIC-Xiangya (CN)
- National Engineering Research Center of Human Stem Cells (CN)
Publication Details
- Journal
- Human Reproduction Open
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1093/hropen/hoaf054
- Citations
- 1
- Primary Topic
- Prenatal Screening and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 3.49