About

Josh Burke is a surgical researcher and educator whose work sits at the intersection of robotic surgery, surgical training, and technology-enhanced education. His research has made a significant contribution to understanding and addressing the structural gaps in robotic-assisted surgical training (RAST), particularly within the UK and Ireland, where he has highlighted that over 70% of surgical trainees lack access to robotic training opportunities. Burke's most cited work, a 2021 pan-specialty snapshot study (55 citations), captured trainee perspectives on robotic surgery and helped galvanize institutional awareness of the training deficit. Building on this, his 2022 review of colorectal robotic training programmes (33 citations) and his Delphi consensus study establishing a pre-procedural core robotic surgery curriculum (32 citations) have provided actionable frameworks for educational stakeholders and policymakers. His systematic review on performance and proficiency metrics in robotic surgery (16 citations) further strengthens the evidence base for standardized assessment. As a contributor to the FOS:TEST Commission report, Burke has also shaped broader conversations about coordinating technology adoption in surgical training. Collectively, his portfolio positions him as an emerging leader in surgical education reform, advocating for equitable, structured, and evidence-driven pathways into robotic surgery.

Research Focus

Key Achievements

6
H-Index
9
Papers
156
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Surgical trainee experience and opinion of robotic surgery in surgical training and vision for the future: a snapshot study of pan-specialty surgical trainees
55 citations · 2021
📈 Most Prolific Year: 2023 (3 Papers)
🤝 Key Collaborators: 88
🏛 Institutions: Leeds Teaching Hospitals NHS Trust, University of Leeds, University of Birmingham, St James's University Hospital, Royal College of Surgeons of England

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago