Papers
9
Total Citations
127
H-Index
6
About
Mohammad Durrani is a pioneering researcher at the intersection of robotic surgery, surgical education, and cognitive neuroscience. His primary research focuses on robot-assisted radical cystectomy, where he has made landmark contributions through a decade-long study of reoperations and complications, demonstrating the feasibility and safety of this minimally invasive approach for bladder cancer. His work on functional outcomes and predictors of venous thromboembolism has helped establish best practices in postoperative care, with his most cited paper accumulating 54 citations. Durrani’s innovative research extends beyond clinical outcomes into the cognitive dimensions of surgery. He is a leader in applying electroencephalogram (EEG) and network neuroscience to understand surgeon performance, distraction, and non-technical skills in the operating room. Notably, he has pioneered the use of machine learning for surgical hand gesture recognition from EEG data, opening new frontiers for automated skill assessment and feedback in robotic training. His work on simulation-based training has shaped modern surgical education. With recent forays into autonomous navigation datasets, Durrani continues to push boundaries, making him a uniquely interdisciplinary voice in the future of surgery and human-machine interaction.
Research Focus
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Top Papers
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