Investigating artificial intelligence in predicting and evaluating sperm and embryo quality in the in vitro fertilization (IVF): a systematic review
Abstract Importance Assisted Reproductive Technologies have been developed to address infertility by improving embryo selection. Artificial intelligence (AI), using Time-Lapse Imaging, enhances predictions from fertilization to the blastocyst stage. Objective Studies show that AI can identify suitab...
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| Main Authors: | Shahrzad kaveh, Aida Ghaffari, Solmaz Sohrabei |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-07-01
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| Series: | Discover Artificial Intelligence |
| Online Access: | https://doi.org/10.1007/s44163-025-00420-8 |
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