Debleena Paul

Papers

Total Citations

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About

Debleena Paul is a researcher at the forefront of integrating artificial intelligence into healthcare, with a particular focus on preventive and managed medicine. Her most cited work, "Artificial intelligence in preventive and managed healthcare" (2021), has garnered 8 citations, marking her as an emerging voice in the application of machine learning and data analytics to improve patient outcomes and streamline clinical workflows. Paul’s contributions center on developing AI-driven frameworks that enable early disease detection, personalized risk assessment, and cost-effective healthcare delivery—areas critical to transforming reactive treatment into proactive wellness. By bridging computational methods with real-world clinical needs, she addresses pressing challenges in healthcare accessibility and efficiency. Her research not only advances technical solutions but also emphasizes ethical considerations and practical implementation, making her work valuable to both computer scientists and medical practitioners. As a rising scholar, Debleena Paul is shaping the future of smart healthcare, where artificial intelligence serves as a tool for equitable, data-informed decision-making.