Snehal Shenoy

Papers

Total Citations

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About

Snehal Shenoy is a researcher at the forefront of integrating artificial intelligence into healthcare, with a primary focus on preventive and managed medicine. Her most-cited work, "Artificial intelligence in preventive and managed healthcare" (2021), has garnered 8 citations, establishing a foundational framework for how AI can transform patient care from reactive treatment to proactive wellness. Shenoy's contributions lie in demonstrating how machine learning algorithms can analyze patient data to predict health risks, optimize resource allocation, and personalize preventive strategies, thereby reducing the burden on healthcare systems. Her research bridges the gap between technical AI development and practical clinical application, offering scalable solutions for chronic disease management and population health. While her citation count reflects the emerging nature of this field, Shenoy's work is notable for its timely relevance, addressing the pressing need for data-driven, cost-effective healthcare models. Her insights are particularly valuable for students and researchers exploring the intersection of technology and medicine, as she provides a clear roadmap for leveraging AI to improve health outcomes and system efficiency.