Author

B. Rahmani

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Open access Oct 2026

Stage-Aware and Explainable Machine Learning for Predicting IVF Implantation

Predicting implantation outcomes in vitro fertilization (IVF) is challenging because clinically relevant information becomes available at different points during treatment. In this study, we developed a stage-aware, leakage-conscious, and explainable machine-learning framework to predict implantation using a public IVF...

H. Sharma, K. Yemelong, A. Carmona et al. · medRxiv · 0 citations

#explainable ai Open access Sep 2026

AI-Driven Early Detection of Polycystic Ovary Syndrome via Follicle Count

This study develops machine learning models for early Polycystic Ovary Syndrome prediction using a structured clinical dataset with 42 features and 542 patient records and demonstrates that ensemble models can effectively capture non-linear feature interactions in clinical data.

D. Thota, A. Mahesha, M. F. Khasim et al. · medRxiv · 0 citations