Elyas Rashno

Queen's University

Papers

1

Total Citations

4

H-Index

1

About

Elyas Rashno is a researcher at the forefront of applying artificial intelligence to critical healthcare challenges. His work centers on developing intelligent systems that enhance clinical decision-making and operational efficiency in medical settings. Rashno’s most notable contribution is the creation of "Triage-Bot," an innovative assistive triage framework designed to streamline the collection of patient health data through automation. This system directly addresses the life-saving imperative of prompt healthcare delivery by minimizing waiting times in emergency departments and improving access to evidence-based care. By leveraging advanced AI, his framework represents a significant step toward more responsive and efficient emergency medicine. Though early in its dissemination, the work has already garnered attention with 4 citations, signaling its relevance and potential for broad impact. Rashno’s research sits at the critical intersection of machine learning, health informatics, and emergency care, offering practical solutions that promise to transform patient intake processes and ultimately save lives.

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