Papers
2
Total Citations
24
H-Index
2
About
Max Shah is a surgical researcher dedicated to improving the evaluation of innovative robotic procedures. His work focuses on the critical intersection of surgical innovation and evidence-based reporting, particularly in minimally invasive and robot-assisted surgery. Shah’s major contributions center on applying the IDEAL (Idea, Development, Exploration, Assessment, Long-term follow-up) Collaboration framework to assess the quality of evidence in emerging surgical techniques. In his highly cited 2022 systematic review, Shah examined reporting standards for robot-assisted anti-reflux surgery (RA-ARS), revealing significant gaps in how these innovations are documented and evaluated. His complementary 2022 study on robotic cholecystectomy similarly highlighted deficiencies in adherence to IDEAL recommendations, underscoring the need for more rigorous methodological standards. Collectively, these works have garnered over 20 citations, establishing Shah as a key voice advocating for transparency and safety in surgical innovation. By systematically exposing weaknesses in current reporting practices, he is helping to shape a more robust framework for introducing new technologies into clinical practice—a vital contribution for surgeons, researchers, and patients alike.
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