Papers

1

Total Citations

3

H-Index

1

About

Dr. F F Quek is a pioneering researcher at the intersection of artificial intelligence and surgical innovation, with a primary focus on leveraging AI to analyze intraoperative video recordings. Their most notable contribution is a comprehensive systematic scoping review protocol that establishes a rigorous framework for evaluating how AI can be applied to digital videos of invasive general surgical procedures. This work addresses a critical bottleneck in modern surgery: while video recordings offer invaluable documentation of operations, their manual review demands significant surgical expertise and time. Dr. Quek’s research systematically maps the emerging field of AI-assisted surgical video analysis, providing a foundational methodology for future studies. Although early in their career, with their flagship 2023 paper already garnering 3 citations, Dr. Quek’s work is poised to catalyze a paradigm shift in surgical education, quality assurance, and intraoperative decision-making. By bridging computational methods with clinical practice, they are helping to unlock the full potential of surgical video data, promising to enhance training, reduce errors, and improve patient outcomes through intelligent automation.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
A systematic scoping review protocol to summarise and appraise the use of artificial intelligence in the analysis of digital videos of invasive general surgical procedures
3 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: National Institute for Health and Care Research

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago