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About

Alyssa Murillo is a rising leader at the intersection of surgical education and artificial intelligence, with a primary focus on transforming how surgeons are trained in robotic-assisted procedures. Her work addresses critical gaps in robotic surgical training, including the over-reliance on observational learning, inconsistent assessment methods, and the lack of standardized feedback. Murillo’s most cited paper, “Artificial intelligence and robotic surgical education” (2024, 23 citations), proposes AI-driven solutions to these challenges, positioning her as a forward-thinking voice in surgical pedagogy. She also led the development of “Consensus guidelines on the bedside assistant skills required in robotic surgery” (2024, 6 citations), establishing much-needed standards for team-based robotic operations. Her research extends to comparative outcomes in esophageal cancer surgery, examining conventional versus robotic-assisted minimally invasive esophagectomy. With a rapidly growing citation record and a focus on practical, consensus-driven improvements, Murillo is shaping the future of surgical training—making her work essential reading for anyone interested in how AI and structured education can elevate patient safety and surgical performance.