首页|Xuzhou Medical University Reports Findings in Robotics (Outcomes of robot-assist ed versus video-assisted mediastinal mass resection during the initial learning curve)
Xuzhou Medical University Reports Findings in Robotics (Outcomes of robot-assist ed versus video-assisted mediastinal mass resection during the initial learning curve)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Robotics is the subjec t of a report. According to news reporting originating in Jiangsu, People's Repu blic of China, by NewsRx journalists, research stated, "To compare the learning curve of mediastinal mass resection between robot-assisted surgery and thoracosc opic surgery. Retrospective perioperative data were collected from 160 mediastin al mass resection cases." The news reporters obtained a quote from the research from Xuzhou Medical Univer sity, "Data included 80 initial consecutive video-assisted thoracoscopic surgery (VATS) resection cases performed from February 2018 to February 2020 and 80 ini tial consecutive robotic-assisted thoracic surgery (RATS) resection cases perfor med from March 2020 to March 2023. All cases were operated on by a thoracic surg eon. The clinical characteristics and perioperative outcomes of the two groups w ere compared. The operation time in both the RATS group and VATS group was analy zed using the cumulative sum (CUSUM) method. Based on this method, the learning curves of both groups were divided into a learning period and mastery period. Th e VATS group and the RATS group crossed the inflection point in the 27th and 21s t case, respectively. Subsequently, we found that the learning period was longer than the mastery period with statistically significant differences in terms of the operating time, and postoperative hospital stay in the VATS group and the RA TS group." According to the news reporters, the research concluded: "A certain amount of VA TS experience can shorten the learning curve for RATS."
JiangsuPeople's Republic of ChinaAsi aEmerging TechnologiesHealth and MedicineMachine LearningRobotRoboticsSurgery
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