Robotic Surgery: Rediscovering Human Anatomy

Antonio Gangemi, Betty Chang, Paolo Bernante and Gilberto Poggioli
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Antonio Gangemi: Department of Surgery, University of Illinois at Chicago College of Medicine, Chicago, IL 60612, USA
Betty Chang: University of Illinois at Chicago College of Medicine, Chicago, IL 60612, USA
Paolo Bernante: Center for Metabolic and Obesity Surgery, IRCCS Azienda Ospedaliera Universitaria di Bologna, 40121 Bologna, Italy
Gilberto Poggioli: Department of Medical and Surgical Sciences, St.Orsola-Malpighi University Hospital of Bologna, 40138 Bologna, Italy

IJERPH, 2021, vol. 18, issue 23, 1-8

Abstract: Since its advent, robotic surgery has redefined the operating room experience. It directly addressed and resolved many of the shortcomings of laparoscopic methods while maintaining a minimally invasive approach that brought benefits in cosmesis and healing for patients but also benefits in ergonomics and precision for surgeons. This new platform has brought with it changes in surgical training and education, principally through the utilization of virtual reality. Accurate depictions of human anatomy seen through augmented reality allow the surgeon-in-training to learn, practice and perfect their skills before they operate on their first patient. However, the anatomical knowledge required for minimally invasive surgery (MIS) is distinct from current methods of dissection and prosection that inherently cater towards open surgery with large cuts and unobstructed field. It is integral that robotic surgeons are also equipped with accurate anatomical information, heralding a new era in which anatomists can work alongside those developing virtual reality technology to create anatomical training curricula for MIS. As the field of surgery and medicine in general moves to include more and more technology, it is only fitting that the building blocks of medical education follow suit and rediscover human anatomy in a modern context.

Keywords: robotic surgery; surgical anatomy; surgical anatomist (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
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