Tejinder P Singh1, Jessica Zaman2, Jessica Cutler2. 1. Department of Surgery Albany Medical College, 50 New Scotland Avenue, Albany, NY, 12208, USA. singht@amc.edu. 2. Department of Surgery Albany Medical College, 50 New Scotland Avenue, Albany, NY, 12208, USA.
Abstract
BACKGROUND: For the last 20 years, controversies in robotic surgery focused on cost reduction, development of new platforms and technologies, creation and validation of curriculum and virtual simulators, and conduction of randomized clinical trials to determine the best applications of robotics [Leal Ghezzi and Campos in World J Surg 40:2550-2557, 2016]. METHODS: This review explores the robotic systems which are currently indicated for use or development in gastrointestinal/abdominal surgery. These systems are reviewed and analyzed for clinical impact in these areas. In a MEDLINE search of articles with the search terms abdominal, gastrointestinal, review and robotic surgery, a total of 4306 total articles as of 2021 were assessed. Publicly available information, highest cited articles and reviews were assessed by the authors to determine the most significant regarding clinical outcomes. RESULTS: Despite this increased number of articles related to robotic surgery, ongoing controversies have led to limitation in the use of current and future robotic surgery platforms [Connelly et al. in J Robotic Surg 14:155-165, 2020]. Newer robotic platforms have limited studies or analysis that would allow meaningful definite conclusions. A multitude of new scenarios are possible due to this limited information. CONCLUSION: Robotic surgery is in evolution to a larger conceptual field of computationally enhanced surgery (CES). Various terms have been used in the literature including computer-assisted surgery or digital Surgery [Ranev and Teixeira in Surg Clin North Am 100:209-218, 2020]. With the growth of technological changes inherent in CES, the ability to validate these improvements in outcomes will require new metrics and analytic tools. This learning feedback and metric analysis will generate the new opportunities in simulation, training and application [Julian and Smith in Int J Med Robot 15:e2037, 2019].
BACKGROUND: For the last 20 years, controversies in robotic surgery focused on cost reduction, development of new platforms and technologies, creation and validation of curriculum and virtual simulators, and conduction of randomized clinical trials to determine the best applications of robotics [Leal Ghezzi and Campos in World J Surg 40:2550-2557, 2016]. METHODS: This review explores the robotic systems which are currently indicated for use or development in gastrointestinal/abdominal surgery. These systems are reviewed and analyzed for clinical impact in these areas. In a MEDLINE search of articles with the search terms abdominal, gastrointestinal, review and robotic surgery, a total of 4306 total articles as of 2021 were assessed. Publicly available information, highest cited articles and reviews were assessed by the authors to determine the most significant regarding clinical outcomes. RESULTS: Despite this increased number of articles related to robotic surgery, ongoing controversies have led to limitation in the use of current and future robotic surgery platforms [Connelly et al. in J Robotic Surg 14:155-165, 2020]. Newer robotic platforms have limited studies or analysis that would allow meaningful definite conclusions. A multitude of new scenarios are possible due to this limited information. CONCLUSION: Robotic surgery is in evolution to a larger conceptual field of computationally enhanced surgery (CES). Various terms have been used in the literature including computer-assisted surgery or digital Surgery [Ranev and Teixeira in Surg Clin North Am 100:209-218, 2020]. With the growth of technological changes inherent in CES, the ability to validate these improvements in outcomes will require new metrics and analytic tools. This learning feedback and metric analysis will generate the new opportunities in simulation, training and application [Julian and Smith in Int J Med Robot 15:e2037, 2019].