Tahasin Mahmud
Papers
1
Total Citations
117
H-Index
1
About
Dr. Tahasin Mahmud is a leading researcher at the intersection of machine learning and maternal healthcare, with a primary focus on predictive analytics for obstetrics. His most impactful contribution is a landmark systematic review, "Machine learning to predict pregnancy outcomes," which has garnered 117 citations. This seminal work synthesizes the fragmented landscape of ML applications in obstetrics, establishing a comprehensive framework for predicting childbirth modes and assessing maternal risks. By critically evaluating existing methodologies, Dr. Mahmud not only identified key gaps in current research but also proposed a forward-looking research agenda that has become a foundational reference for scholars and clinicians alike. His work bridges the gap between complex computational models and practical clinical decision-making, demonstrating how artificial intelligence can enhance prenatal care and improve patient outcomes. Through this rigorous synthesis, Dr. Mahmud has positioned himself as a pivotal figure in the emerging field of AI-driven maternal-fetal medicine, providing both a roadmap for future investigations and a critical evaluation of the promises and pitfalls of machine learning in pregnancy care.
Research Focus
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Top Papers
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