About

Kunal Bhakhri is a surgical researcher whose work sits at the intersection of thoracic oncology, medical education, and advanced imaging technologies. His primary research areas include robotic surgery training, virtual 3D anatomical modeling, and the systemic inflammatory response following thoracic cancer surgery. Bhakhri’s most cited work (23 citations) critically examines whether robotic surgery simulation should be integrated into core surgical training curricula, addressing a key gap in how future surgeons are prepared for minimally invasive procedures. He also demonstrated that interactive virtual 3D-CT models of lung cancer patients’ pulmonary anatomy significantly improve surgeons’ anatomical knowledge and surgical plan confidence during robotic-assisted thoracic surgery (12 citations). Additionally, his investigation into systemic inflammatory changes after thoracic cancer surgery (6 citations) contributes to understanding postoperative clinical implications. Through these studies, Bhakhri has helped bridge the gap between emerging technologies and practical surgical training, offering evidence-based insights that enhance both educational frameworks and preoperative planning in thoracic surgery.

Research Focus

Key Achievements

3
H-Index
3
Papers
41
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Should Robotic Surgery Simulation Be Introduced in the Core Surgical Training Curriculum?
23 citations · 2021
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Guy's and St Thomas' NHS Foundation Trust, St Thomas' Hospital, University College London Hospitals NHS Foundation Trust

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago