Max Robotics — Global Service Robot Directory + US Certification

About

Darren Scroggie is a surgical researcher whose work is shaping how we evaluate and adopt robotic technologies in gastrointestinal surgery. His primary research areas include robot-assisted anti-reflux surgery, robotic cholecystectomy, and the learning curves associated with robotic gastrointestinal procedures. Scroggie has made a significant contribution by systematically applying the IDEAL (Idea, Development, Exploration, Assessment, Long-term follow up) framework to assess the quality of reporting in robotic surgery. His 2022 systematic review on robot-assisted anti-reflux surgery (13 citations) and his companion review on robotic cholecystectomy (11 citations) both highlight critical gaps in how innovations are reported, advocating for safer, more transparent surgical evaluation. Additionally, his 2021 work on quantified learning curves for robotic gastrointestinal surgery (1 citation) addresses the essential question of surgeon proficiency and patient safety. By bringing rigorous methodological scrutiny to emerging surgical technologies, Scroggie is helping to ensure that the adoption of robotics in the operating room is both evidence-based and patient-centered.