Artificial Intelligence in Unexplained Infertility: A Systematic Review of Machine Learning-Based Predictive Models.
Introduction: This systematic review evaluates the methodological rigor and risk of bias of machine learning-based predictive models developed to estimate the success of assisted reproductive technologies in cases of unexplained infertility, using the Prediction Model Risk of Bias Assessment Tool. M...
| Published in: | Lokman Hekim Health Sciences Vol. 6; no. 2; pp. 290 - 305 |
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| Main Authors: | , |
| Format: | research systematic review tables/charts Journal Article |
| Published: |
KARE Publishing
Jun2026
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| Online Access: | View this record in EBSCOhost |