Papers
4
Total Citations
168
H-Index
2
About
Hassan Mumtaz is a pioneering researcher at the intersection of artificial intelligence and surgery, with a particular focus on robotic and minimally invasive techniques. His most influential work, "Artificial intelligence: revolutionizing robotic surgery: review" (2024, 129 citations), establishes him as a leading voice in how AI enhances surgical precision, dexterity, and decision-making. Mumtaz has also explored the future of cardiothoracic surgery in the age of AI (2022, 36 citations), demonstrating his forward-looking approach to integrating machine learning into complex surgical workflows. Beyond AI, his clinical research spans urological oncology—notably the rational management of intra-diverticular bladder tumours—and the evolving role of minimally invasive surgery in inflammatory bowel disease. Mumtaz’s contributions are marked by a rare ability to bridge cutting-edge computational methods with practical surgical applications, making his work essential reading for clinicians and engineers alike. With over 168 citations across his key papers, he is shaping the next generation of smart, data-driven surgical care.
Research Focus
Key Achievements
Top Papers
- 1Artificial intelligence: revolutionizing robotic surgery: review129 citations · 2024
- 2The future of Cardiothoracic surgery in Artificial intelligence36 citations · 2022
- 3Intra-Diverticular Bladder Tumours: How to Manage Rationally2 citations · 2022
- 4