Camilla Gomes

University of California, San Francisco, Johnson & Johnson (United States)

Papers

Total Citations

H-Index

About

Camilla Gomes is at the forefront of transforming surgical education through artificial intelligence and robotics. Her research focuses on addressing critical barriers in robotic surgical training, including the reliance on observational learning, inconsistent assessment, and low-quality feedback. Gomes has made significant contributions by developing consensus guidelines for bedside assistant skills in robotic surgery, creating a classification system for soft tissue surgical robotic devices, and evaluating the quality of online surgical educational content. Her most cited work, "Artificial intelligence and robotic surgical education" (23 citations), proposes AI-driven solutions to revolutionize how surgeons are trained. With additional influential papers on robotic device classification (8 citations) and bedside assistant skills (6 citations), Gomes is shaping the future of surgical training standards. Her critical analysis of online robotic-assisted cholecystectomy videos highlights her commitment to patient safety and educational quality. Through her innovative work, Gomes is bridging the gap between emerging robotic technologies and effective, standardized surgical education.