Rahul Chikatimalla
Papers
2
Total Citations
8
H-Index
2
About
Rahul Chikatimalla is at the forefront of integrating artificial intelligence into critical care, with a focused research agenda on transforming cardiopulmonary resuscitation (CPR) from a reactive intervention into a precision-driven, predictive science. His work addresses the persistent challenge of improving survival rates from cardiac arrest by leveraging AI to enhance prediction, intervention, and outcome optimization. His most-cited paper, “From prediction to precision: Artificial intelligence and emerging technologies in cardiopulmonary resuscitation” (2025, 6 citations), lays the groundwork for this paradigm shift, while a closely related publication (2 citations) further explores AI’s impact on the future of CPR. Although early in his career, Chikatimalla’s contributions are already shaping conversations around how machine learning can refine real-time decision-making during resuscitation, potentially reducing variability in care and improving patient outcomes. His research signals a promising trajectory toward more personalized, data-driven emergency medicine, positioning him as an emerging voice in the intersection of AI and life-saving critical care technologies.
Research Focus
Key Achievements
Top Papers
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- 2