Machine learning–based prediction of IVF/ICSI outcomes in male factor infertility highlighting couple-level BMI
BackgroundMost clinical prediction models for assisted reproductive technology focus primarily on female ovarian reserve markers and often under-represent male factors and the metabolic status of both partners. Additionally, traditional parametric models may have limited ability to capture nonlinear...
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| Main Authors: | , , |
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| Format: | Artigo |
| Language: | Inglês |
| Published: |
Frontiers Media S.A.
2026-02-01
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| Series: | Frontiers in Endocrinology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fendo.2026.1772106/full |
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