Papers
5
Total Citations
146
H-Index
3
About
Asim Shabbir is a pioneering surgeon-scientist at the forefront of robotic and AI-driven gastrointestinal surgery. His research focuses on advanced endoscopic and bariatric procedures, with a particular emphasis on developing robotic platforms to enhance precision and accessibility. Shabbir’s most impactful contribution is the development and clinical application of the Master and Slave Transluminal Endoscopic Robot (MASTER) for endoscopic submucosal dissection of gastric lesions, a landmark study with 108 citations that demonstrated the feasibility of complex robotic endoluminal surgery. He has also advanced telesurgery, showing the feasibility of long-range robotic radical gastrectomy in a porcine model, and developed a non-invasive real-time localization system to improve nasogastric intubation efficacy. In 2025, he co-led an international expert consensus on artificial intelligence in metabolic and bariatric surgery, outlining transformative AI applications from machine learning to deep learning. Shabbir’s work bridges cutting-edge robotics, telemedicine, and AI, establishing him as a key figure shaping the future of minimally invasive and remotely delivered surgical care.
Research Focus
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