Papers
1
Total Citations
62
H-Index
1
About
Anil Sharma is a prominent researcher at the intersection of artificial intelligence and healthcare, with a particular focus on deploying transformative technologies in low-resource and underserved settings. His most cited work, "Transforming Healthcare in Low-Resource Settings With Artificial Intelligence: Recent Developments and Outcomes" (2024), has already garnered 62 citations since its publication, reflecting the immediacy and relevance of his contributions to the global health community. This landmark study examines how machine learning, natural language processing, and robotics can be harnessed to advance diagnostic tools and predictive analytics in environments where traditional healthcare infrastructure is limited. Sharma's research addresses one of the most pressing challenges in modern medicine — bridging the technological gap between well-resourced and underserved healthcare systems — and offers practical frameworks for AI-driven solutions that can function effectively under real-world constraints. His work appeals to a broad audience spanning clinical practitioners, health policymakers, and computer scientists alike. For students and researchers exploring the ethical and practical deployment of AI in global health, Sharma's scholarship represents an essential and forward-thinking body of work.
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Top Papers
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