Mukund Rastogi

Papers

Total Citations

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About

Mukund Rastogi’s research lies at the intersection of computational intelligence and healthcare, with a primary focus on developing AI-driven frameworks for medical diagnosis and risk stratification. His most-cited work, “Risk Stratification for Subjects Suffering from Lung Carcinoma: Healthcare 4.0 Approach with Medical Diagnosis Using Computational Intelligence” (2021), exemplifies his commitment to integrating machine learning with clinical decision-making. This study proposes a novel methodology for early and accurate lung cancer risk assessment, leveraging computational models to enhance diagnostic precision—a critical contribution in an era where timely detection can dramatically improve patient outcomes. With over 4 citations, this paper has already begun influencing subsequent research in AI-assisted oncology. Rastogi’s broader contributions advance the paradigm of Healthcare 4.0, where intelligent systems support clinicians in managing complex diseases. His work is particularly notable for its practical orientation, aiming to translate algorithmic innovation into real-world clinical tools. For students and researchers exploring the convergence of artificial intelligence and medicine, Rastogi’s research offers a compelling blueprint for how computational intelligence can transform patient care and risk management in oncology.