Feasibility of deep learning for predicting live birth from a blastocyst image in patients classified by age
Abstract Purpose To identify artificial intelligence (AI) classifiers in images of blastocysts to predict the probability of achieving a live birth in patients classified by age. Results are compared to those obtained by conventional embryo (CE) evaluation. Methods A total of 5691 blastocysts were r...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2019-04-01
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| Series: | Reproductive Medicine and Biology |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/rmb2.12266 |