Matthew Banti

Papers

Total Citations

H-Index

About

Matthew Banti is a researcher at the intersection of surgical education and digital media, with a primary focus on the quality and reliability of online video resources for robotic surgery training. His most cited work, "Comparison of Robotic Surgery Video Quality Between YouTube and Curated Sources Using GEARS Criteria" (2021), systematically evaluated the technical and educational value of freely available surgical videos against peer-reviewed, curated content. By applying the validated Global Evaluative Assessment of Robotic Skills (GEARS) criteria, Banti’s study highlighted significant disparities in video quality, demonstrating that curated sources consistently outperformed user-generated YouTube content in procedural accuracy and instructional clarity. This contribution has direct implications for surgical trainees and educators, offering evidence-based guidance for selecting high-quality learning materials. With 7 citations, the paper has already informed discussions on standardizing online surgical education and reducing reliance on unvetted platforms. Banti’s work underscores the growing need for quality control in digital surgical training, positioning him as a thoughtful voice in the evolving landscape of technology-enhanced medical education.