Aparna Kumari
Papers
1
Total Citations
39
H-Index
1
About
Aparna Kumari is at the forefront of integrating artificial intelligence with next-generation healthcare systems, with her work centering on Healthcare 4.0, federated learning, and predictive diagnostics. Her most impactful contribution, the 2023 study “Artificial neural network‐driven federated learning for heart stroke prediction in healthcare 4.0 underlying 5G,” has already garnered 39 citations, underscoring its significance in the field. In this work, Kumari pioneered a framework that combines artificial neural networks with federated learning to enable privacy-preserving, real-time heart stroke prediction over 5G networks—a critical advancement for remote and smart healthcare. By addressing the dual challenges of data security and low-latency communication, she has provided a scalable solution for AI-aided diagnostics in the era of Healthcare 4.0. Her research not only advances automated surgical robotics and machine learning-driven clinical decision-making but also sets a benchmark for future innovations in intelligent, connected health systems. Kumari’s work is essential reading for researchers exploring the intersection of AI, telecommunications, and patient-centric care.
Research Focus
Key Achievements
Top Papers
- 1