B. Shanmuga Priya

Papers

Total Citations

H-Index

About

B. Shanmuga Priya is a forward-looking researcher at the intersection of artificial intelligence and healthcare, with a primary focus on how machine learning, robotics, and intelligent systems are transforming medical diagnostics and treatment. Her most cited work, "An Examination of How Robots, Artificial Intelligence, and Machinery Learning are Being Applied in the Medical and Healthcare Industries" (2022, 8 citations), critically surveys the integration of AI-driven diagnostic tools that link patient data to historical records, enabling more accurate disease detection and clinical decision-making. Priya’s contributions center on advancing data mining techniques for disease diagnosis, particularly by evaluating and comparing emerging machine learning models that improve predictive accuracy in healthcare settings. Her research addresses a pressing need for scalable, intelligent systems that can assist clinicians in early intervention and personalized care. By synthesizing developments in robotics and AI, Priya highlights the transformative potential of these technologies in reducing diagnostic errors and streamlining medical workflows. Her work serves as a valuable resource for students and researchers exploring the practical deployment of AI in medicine, offering a clear roadmap for future innovation in intelligent healthcare systems.