Eyad El Khodary

Queen's University

Papers

1

Total Citations

4

H-Index

1

About

Dr. Eyad El Khodary is a researcher at the forefront of applying artificial intelligence to critical healthcare challenges, with a primary focus on emergency medicine and clinical decision support. His most significant contribution to date is the development of **Triage-Bot**, an innovative assistive triage framework that harnesses automation to streamline the collection of patients' health data. This work directly addresses the life-saving imperative of prompt healthcare delivery by minimizing waiting times in emergency departments and enhancing access to evidence-based care. By leveraging AI to optimize the triage process, Dr. El Khodary's research aims to reduce human error and cognitive load on clinicians during high-pressure situations. Though his seminal paper on Triage-Bot was published in 2024 and has already garnered 4 citations, his work represents a promising new direction in the integration of conversational agents and machine learning into clinical workflows. Dr. El Khodary's research stands to significantly improve patient outcomes by ensuring that critical cases are identified and prioritized with greater speed and accuracy, marking him as an emerging leader in the field of AI-driven healthcare innovation.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Triage-Bot: An Assistive Triage Framework
4 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Queen's University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago