M. Obaidat
Papers
1
Total Citations
2
H-Index
1
About
M. Obaidat is a leading researcher in surgical robotics and medical simulation, with a focus on translating laboratory-acquired skills to real-world clinical environments. Their most notable contribution is the experimental study "Transferencia de habilidades prácticas desde el laboratorio a cirugía in vivo utilizando el sistema robótico Avatera" (2023), which demonstrates how structured training on robotic platforms can effectively bridge the gap between simulated practice and live surgery. This work, already cited twice, highlights Obaidat’s commitment to improving surgical education and patient safety through evidence-based training methodologies. By validating the Avatera robotic system as a tool for skill transfer, Obaidat has provided critical insights for curriculum development in minimally invasive surgery. Their research addresses a key challenge in medical training—ensuring that technical proficiency gained in the lab translates directly to successful outcomes in the operating room. Obaidat’s work is essential reading for students and professionals interested in the intersection of robotics, simulation, and surgical pedagogy, offering a clear pathway for integrating advanced technologies into practical medical education.
Research Focus
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Top Papers
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