Papers
1
Total Citations
2
H-Index
1
About
Rabia Asim is a rising researcher at the intersection of artificial intelligence and emergency medicine, with a focused interest in how AI can transform cardiopulmonary resuscitation (CPR) outcomes. Her most-cited work, the 2024 narrative review "Multi-faceted role of artificial intelligence (AI) in cardiopulmonary resuscitation (CPR)," synthesizes emerging evidence on AI-driven decision support, real-time feedback systems, and automated CPR delivery—highlighting how machine learning can optimize chest compression quality, predict defibrillation timing, and reduce human error during cardiac arrest. Though early in her career, this review has already garnered 2 citations, signaling growing recognition of her ability to bridge clinical practice and computational innovation. Asim’s contributions are particularly notable for their translational potential: she maps AI applications from pre-hospital settings to in-hospital resuscitation teams, emphasizing ethical considerations and data integration challenges. Her work positions her as a key voice in the evolving dialogue on technology-augmented emergency care, offering a roadmap for future studies that could save lives through smarter, faster resuscitation protocols.
Research Focus
Key Achievements
Top Papers
- 1