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Bibliographic Dataset Boosts Health AI Research

Bibliographic Dataset Boosts Health AI Research
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Research provides curated bibliographic dataset of advances in health AI research

A study published in Health Data Science introduces a curated bibliographic dataset that aims to revolutionize the landscape of Health Artificial Intelligence (AI) research. Led by Xuanyu Shi and Jian Du from Peking University, this dataset integrates a vast array of Health AI-related documents, offering an invaluable resource for researchers, policymakers, and practitioners.

Association between preconception care and family planning and previous adverse birth outcomes in Ethiopia: systematic review and meta-analysis

Association between preconception care and family planning and previous adverse birth outcomes in Ethiopia: systematic review and meta-analysis
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