Papers
3
Total Citations
25
H-Index
2
About
M. Huttman is a surgical researcher focused on the rigorous evaluation of robotic-assisted gastrointestinal surgery, particularly in the realms of anti-reflux procedures and cholecystectomy. Their work is distinguished by a commitment to improving reporting standards and patient safety through the application of the IDEAL (Idea, Development, Exploration, Assessment, Long-term follow-up) framework. Huttman’s major contributions include leading a systematic review on robot-assisted anti-reflux surgery, which critically examined the quality of reporting and highlighted gaps in evidence, garnering 13 citations. Similarly, their review of robot-assisted cholecystectomy, with 11 citations, assessed how well these innovations adhere to IDEAL recommendations, advocating for more structured evaluation. Huttman has also explored quantified learning curves for robotic gastrointestinal surgery, a vital area for understanding how surgeon experience impacts patient outcomes. This work underscores their dedication to evidence-based adoption of new technologies. By systematically analyzing the literature, Huttman provides essential guidance for surgeons and researchers, ensuring that the integration of robotics into clinical practice is both safe and scientifically sound.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 31019 Quantified Learning Curves for Robotic Gastrointestinal Surgery1 citations · 2021