Screening Protocol and Study Selection Data for: Artificial Intelligence for Women’s Reproductive Health: A Systematic Review of Global Diagnostic Trends and a Translational Informatics Framework for Low-Resource Settings

This repository contains the screening protocol and structured study-selection metadata supporting the systematic review titled Artificial Intelligence for Women’s Reproductive and Hormonal Disorders: A Systematic Review of Global Approaches and a Translational Framework for Low-Resource Settings.

Search and Screening Overview :
A total of 273 records were identified through systematic searches across multiple academic databases. Screening was performed in two stages: (i) title and abstract screening (First Pass), followed by (ii) full-text eligibility assessment (Second Pass). Explicit exclusion rationales were documented at each stage.

Final Inclusion :
Of the 273 screened records, 116 studies met the predefined inclusion criteria and were included in the final qualitative synthesis.

Taxonomy Classification :
Each included study was assigned to a predefined taxonomy category reflecting its primary methodological focus, clinical application, and translational relevance to low-resource healthcare settings.

Purpose of Data Sharing :
This dataset is shared to promote transparency, reproducibility, and methodological rigor in accordance with PRISMA 2020 guidelines.