Jing Tao

Queen's University

Papers

1

Total Citations

4

H-Index

1

About

Dr. Jing Tao is a rising researcher at the intersection of artificial intelligence and healthcare delivery, with a primary focus on developing intelligent triage systems to improve emergency medical services. Their most notable contribution is the creation of Triage-Bot, an assistive framework designed to automate patient data collection and streamline triage processes in emergency departments. This innovative work addresses the critical challenge of reducing waiting times and enhancing access to evidence-based care during medical emergencies. By leveraging AI to optimize the flow of patients' health information, Dr. Tao's research has the potential to save lives through faster, more accurate clinical decision-making. Their 2024 paper on Triage-Bot has already garnered early citations, signaling growing interest from both the AI and healthcare communities. Dr. Tao's work represents a promising step toward integrating automation into high-stakes medical environments, demonstrating how thoughtful technology design can bridge the gap between data collection and timely, compassionate care.

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