Application of Time-Lapse Imaging Technology and Artificial Intelligence in ART

Yanrong HUANG; Mingying LI; Mengying GAO; Lifeng XIANG; Jiacong YAN; Yonggang LI

doi:10.12259/j.issn.2095-610X.S20240724

Volume 45 Issue 7

Jul. 2024

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Article Navigation > Journal of Kunming Medical University > 2024 > 45(7): 160-167

Yanrong HUANG, Mingying LI, Mengying GAO, Lifeng XIANG, Jiacong YAN, Yonggang LI. Application of Time-Lapse Imaging Technology and Artificial Intelligence in ART[J]. Journal of Kunming Medical University, 2024, 45(7): 160-167. doi: 10.12259/j.issn.2095-610X.S20240724

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Yanrong HUANG, Mingying LI, Mengying GAO, Lifeng XIANG, Jiacong YAN, Yonggang LI. Application of Time-Lapse Imaging Technology and Artificial Intelligence in ART[J]. Journal of Kunming Medical University, 2024, 45(7): 160-167. doi: 10.12259/j.issn.2095-610X.S20240724

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Application of Time-Lapse Imaging Technology and Artificial Intelligence in ART

doi: 10.12259/j.issn.2095-610X.S20240724

Yanrong HUANG^{1, 2},
Mingying LI^{2, 3},
Mengying GAO^{2, 3},
Lifeng XIANG^{1, 2, 3},
Jiacong YAN^{1, 2, 3},
Yonggang LI^{1, 2, 3
,
,}

1.
Medical school，Kunming University of Science and Technology，Kunming Yunnan 650500
2.
Reproductive Medical Center，The 1st People’s Hospital of Yunnan Province，Kunming Yunnan 650032
3.
NHC Key Laboratory of Periconception Health Birth in Western China，KunmingYunnan 650032，China

Received Date: 2023-12-12
Publish Date: 2024-07-25

Abstract

Abstract

Accurate assessment of embryo development is of paramount importance for the success of Assisted Reproductive Technologies （ART）. Traditional methods predominantly rely on subjective embryo morphological evaluations, lacking objectivity and real-time capabilities. Time-lapse Technology （TLT） offers a more stable incubation environment, facilitating dynamic monitoring of embryo development, analysis, and modeling of dynamic parameters during different developmental stages for predicting embryo implantation potential. However, dynamic parameters often require manual annotations, introducing subjective bias and exhibiting significant disparities in data modeling capabilities, deviating from real-world scenarios, especially in the analysis of chromosomal ploidy. With the continuous advancement of Artificial Intelligence （AI）, the integration of TLT and AI holds promise in reducing manual annotation time in TLT, enhancing embryo implantation rates, and chromosomal ploidy prediction. This review aims to explore the application of TLT combined with AI in morphological and dynamic parameters for assessing embryo implantation potential and chromosomal ploidy.
- Assisted reproduction,
- Time-lapse imaging technology,
- Artificial intelligence,
- Embryo implantation potential,
- Embryo euploidy

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References(58)

References

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