Yashaswi Dhiman

Papers

Total Citations

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About

Yashaswi Dhiman is a rising researcher at the intersection of artificial intelligence and healthcare optimization. His work centers on leveraging machine learning to improve critical medical logistics, with a particular focus on blood donation systems. In his most-cited paper, "The Role of Artificial Intelligence in Optimizing the Donation Process and Predicting Blood Thresholds" (2023), Dhiman introduces novel AI-driven models that streamline donation workflows and accurately forecast blood supply demands. This contribution addresses a pressing challenge in public health: preventing shortages while reducing waste in blood banks. Though early in his career, Dhiman’s work has already garnered attention, with his flagship study accumulating 4 citations—a strong start for a 2023 publication. His research demonstrates how predictive analytics can transform donor engagement and inventory management, offering scalable solutions for healthcare systems worldwide. Dhiman’s approach combines technical rigor with real-world impact, positioning him as a promising voice in AI-assisted medical decision-making. For students and researchers exploring the practical applications of artificial intelligence in healthcare logistics, Dhiman’s work provides a compelling blueprint for using data-driven tools to save lives.