Evaluation of the Postoperative Nursing Effect of Thoracic Surgery Assisted by Artificial Intelligence Robot

Abstract

In order to evaluate the postoperative nursing effect of artificial intelligence robot-assisted thoracic surgery, this study proposed the Da Vinci robot-assisted pulmonary lobotomy, from January to December 2014; 42 patients (15 males and 27 females, aged 33-69 years old) underwent lobectomy with the Da Vinci robot system in the chest hospital. A series of postoperative nursing was carried out. The surgical results showed that 42 patients with Da Vinci robot-assisted lobectomy had operation time of 62-225 min and blood loss of 70-300 mL. There was no intraoperative blood transfusion, the intraoperative central rate was maintained at 60-100 times/min, and the blood pressure was maintained at 90-140/60-90 mmHg. No patient was transferred to thoracotomy, and 2 patients were performed robotic wedge resection first, and then, robotic lobectomy was performed after malignant tumor was confirmed by freezing results, with relatively light postoperative pain, no infection, beautiful wound, and smooth recovery and discharge. Robot-assisted lobectomy is a new technique with advantages of less trauma, less pain, faster recovery, and safer and more thorough lymph node dissection.