Michal Kawka
Imperial College London, Hammersmith Hospital, St George's Hospital
Papers
8
Total Citations
158
H-Index
6
About
Michal Kawka is a rising surgical researcher whose work sits at the intersection of minimally invasive surgery, robotic technology, and artificial intelligence. His primary research areas include robotic and laparoscopic abdominal surgery, surgical training innovation, and machine learning applications in the operating room. Kawka’s most impactful contribution is a landmark systematic review comparing laparoscopic versus robotic abdominal and pelvic surgery (62 citations), which critically examined the inconclusive evidence on optimal minimally invasive platforms. He has also pioneered the use of intraoperative video analysis and machine learning models to transform surgical training (55 citations), arguing that AI-driven feedback will revolutionize how surgeons learn. His work on robotic pancreatoduodenectomy includes a cohort study and learning curve analysis (12 citations) that clarifies the procedural volume needed for technical proficiency. Additionally, Kawka contributed to the influential FOS:TEST Commission report on technology-enhanced surgical training (8 citations), which calls for coordinated assessment of surgical technologies. With a growing portfolio of studies on robotic distal pancreatectomy, cholecystectomy, and ALPPS procedures, Kawka is shaping the future of evidence-based, technology-driven surgery.
Research Focus
Key Achievements
Top Papers
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- 8Training in robotic pancreatic surgery2 citations · 2022