学术论文
Artificial Intelligence-based Blastocyst and Split Embryo Evaluatiion System
December 2023
Interpretable Artificial Intelligence-Assisted Embryo Selection Improved Single-Blastocyst Transfer Outcomes: A Prospective Cohort Study
Reproductive BioMedicine Online
Link:https://doi.org/10.1016/j.rbmo.2023.103371
June 2025
Generalization validation of an interpretable artificial intelligence embryo selection model: a Cross-Brand retrospective study
Human Reproduction & The 41th Annual Meeting of the European Society of Human Reproduction and Embryology
Link:https://doi.org/10.1093/humrep/deaf097.404
July 2024
Utilizing Artificial Intelligence to Uncover Day 5 Morphokinetic Features Associated with Single Blastocyst Transfer Implantation Outcome
Human Reproduction & The 40th Annual Meeting of the European Society of Human Reproduction and Embryology
Link:https://doi.org/10.1093/humrep/deae108.517
June 2020
Automated Evaluation System Based on Artificial Intelligence and Visualization Technology Can Effectively Improve the Accuracy of Blastocyst Evaluation
The 36th Annual Meeting of the European Society of Human Reproduction and Embryology
Link:https://doi.org/10.1093/humrep/35.Supplement_1.1
January 2021
A Deep Learning Framework Design for Automatic Blastocyst Evaluation with Multifocal Images
IEEE Xplore
Link:https://ieeexplore.ieee.org/document/9328791
September 2023
An Interpretable Deep Learning-Based AI System for Predicting Blastocyst Formation from Early Embryo Development
Presentation at the 16th Annual Conference of the Chinese Society of Reproductive Medicine (CSRM)
November 2024
Internal and External Validation of an Interpretable Intelligent Blastocyst Evaluation System
Presentation at the 17th Annual Conference of the Chinese Society of Reproductive Medicine (CSRM)
November 2024
Practical Application of Trustworthy AI in Embryo Selection
Presentation at the 17th Annual Conference of the Chinese Society of Reproductive Medicine (CSRM)
June 2024
Automated Embryo Image Analysis: An Explainable AI Model Based on Day 5 Developmental Parameters for Predicting Clinical Pregnancy Outcomes of Blastocysts
Presentation at Jiangsu Provincial Conference on Reproductive Medicine