AIMC Topic: Intraoperative Complications
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A Predictive Model for Intraoperative Cerebrospinal Fluid Leak During Endonasal Pituitary Adenoma Resection Using a Convolutional Neural Network.
World neurosurgery
Jun 12, 2024
BACKGROUND: Cerebrospinal fluid (CSF) leak during endoscopic endonasal transsphenoidal surgery can lead to postoperative complications. The clinical and anatomic risk factors of intraoperative CSF leak are not well defined. We applied a two-dimension...
Real-time detection of active bleeding in laparoscopic colectomy using artificial intelligence.
Surgical endoscopy
May 17, 2024
BACKGROUND: Most intraoperative adverse events (iAEs) result from surgeons' errors, and bleeding is the majority of iAEs. Recognizing active bleeding timely is important to ensure safe surgery, and artificial intelligence (AI) has great potential for...
Machine learning model based on RCA-PDCA nursing methods and differentiating factors to predict hypotension during cesarean section surgery.
Computers in biology and medicine
Apr 2, 2024
BACKGROUND: Intraoperative hypotension during cesarean section has become a serious complication for maternal and fetal healthy. It is commonly encountered by subarachnoid anesthesia. However, currently used control methods have varying degrees of si...
Operative efficiency: a comparative analysis of Versius and da Vinci robotic systems in abdominal surgery.
Journal of robotic surgery
Mar 22, 2024
Robotic-assisted surgery has gained momentum in the pursuit of improved minimally invasive procedures. The adoption of new robotic platforms, such as the Versius, raises concerns about safety, efficacy, and learning curves. This study compares the Ve...
Gasless transvaginal natural orifice transluminal endoscopic surgery for hysterectomy and salpingectomy on a robot platform with flexible devices in a porcine model.
Scientific reports
Mar 4, 2024
In this report, we described a new technique of gasless V-NOTES for hysterectomy and salpingectomy on a robotic platform with flexible devices in a porcine model. As a result, the gynecological procedures were successfully completed. The total operat...
Comparison of perioperative outcomes between robot-assisted adrenalectomy and laparoscopic adrenalectomy: a propensity score matching analysis.
Journal of robotic surgery
Mar 2, 2024
This study aimed to evaluate and compare the perioperative outcomes of robot-assisted adrenalectomy (RAA) and laparoscopic adrenalectomy (LA) using propensity score matching. This retrospective study included 395 patients who underwent minimally inva...
Robot-assisted laparoscopy does not have demonstrable advantages over conventional laparoscopy in endometriosis surgery: a systematic review and meta-analysis.
Surgical endoscopy
Dec 7, 2023
BACKGROUND: Endometriosis is a chronic condition affecting 6-10% of women of reproductive age, with endometriosis-related pain and infertility being the leading symptoms. Currently, the gold standard treatment approach to surgery is conventional lapa...
Establishment of a successful robotic pediatric general surgery practice.
Journal of robotic surgery
Jul 15, 2023
Robotic-assisted surgery (RAS) has a variety of theoretical advantages, including tremor filtration, optimal visualization, and improvement of surgeon ergonomics. Though it has achieved wide application in pediatric urology, the majority of pediatric...
Robotic-assisted gynecologic surgery in an older population: A comparison study.
Journal of geriatric oncology
Jun 7, 2023
INTRODUCTION: Robotic-assisted surgery in select patients has been shown to result in less peri-operative morbidity. Few studies have explored the association of robotic-assisted gynecology oncology surgery complication rates and increasing age. Our ...
Assessing the learning curve of robot-assisted total mesorectal excision: a multicenter study considering procedural safety, pathological safety, and efficiency.
International journal of colorectal disease
Jan 11, 2023
PURPOSE: Evidence regarding the learning curve of robot-assisted total mesorectal excision is scarce and of low quality. Case-mix is mostly not taken into account, and learning curves are based on operative time, while preferably clinical outcomes an...
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