AIMC Topic: Postoperative Complications

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Introducing robot-assisted laparoscopic donor nephrectomy after experience in retroperitoneal endoscopic approach: a matched propensity score analysis.

ANZ journal of surgery
OBJECTIVES: To assess the safety and efficacy of introducing robotic-assisted laparoscopic donor nephrectomy (RALDN) to the standard retroperitoneal endoscopic donor nephrectomy (REDN).

Robot-assisted-radical-cystectomy with total intracorporeal Y neobladder: Analysis of postoperative complications and functional outcomes with urodynamics findings.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
OBJECTIVES: To describe our robotic Y intracorporeal neobladder (ICNB) technique and to report its post-operative complications and urodynamics (UD) findings.

X-Ray Film under Artificial Intelligence Algorithm in the Evaluation for Nursing Effect of Gamma Nail Internal Fixation in Elderly Patients with Intertrochanteric Fracture of Femur.

Computational and mathematical methods in medicine
The aim of this work was to explore the effects of Gamma nail internal fixation for intertrochanteric fracture of femur by X-ray film classification and recognition method based on artificial intelligence algorithm. The study subjects were 100 elderl...

Robot-assisted versus conventional percutaneous sacroiliac screw fixation for posterior pelvic ring injuries: a systematic review and meta-analysis.

European journal of orthopaedic surgery & traumatology : orthopedie traumatologie
PURPOSE: Robot-assisted pelvic screw fixation is a new technology with promising benefits on intraoperative outcomes for patients with posterior pelvic ring injuries. We aim to compare robot-assisted pelvic screw fixation to the traditional fluorosco...

ROBOT-assisted pancreatoduodenectomy in 300 consecutive cases: Annual trend analysis and propensity score-matched comparison of perioperative and long-term oncologic outcomes with the open method.

Journal of hepato-biliary-pancreatic sciences
BACKGROUND/PURPOSE: We previously reported perioperative and oncologic outcomes of robot-assisted pancreatoduodenectomy (RAPD); however, the follow-up period in RAPD was relatively short, and disease-matched survival analyses were lacking. Therefore,...

Machine Learning-Based Gynecologic Tumor Diagnosis and Its Postoperative Incisional Infection Influence Factor Analysis.

Journal of healthcare engineering
Various factors influencing postoperative incisional infection in gynecologic tumors were analyzed, and the value of quality nursing intervention was studied. In this study, 74 surgically treated gynecologic tumor patients were randomly selected from...

The new SUMPOT to predict postoperative complications using an Artificial Neural Network.

Scientific reports
An accurate assessment of preoperative risk may improve use of hospital resources and reduce morbidity and mortality in high-risk surgical patients. This study aims at implementing an automated surgical risk calculator based on Artificial Neural Netw...

A Single Institution's Experience With Robotic Minor and Major Hepatectomy.

The American surgeon
BACKGROUND: Minimally invasive liver resection is gradually becoming the preferred technique to treat liver tumors due its salutary benefits when compared with traditional "open" method. While robotic technology improves surgeon dexterity to better p...

Robot-assisted and conventional minimally invasive esophagectomy are associated with better postoperative results compared to hybrid and open transthoracic esophagectomy.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
BACKGROUND: Currently 4 surgical techniques are performed for transthoracic esophagectomy (open esophagectomy (OE), hybrid esophagectomy (HE), conventional minimally invasive esophagectomy (MIE) and robot assisted minimally invasive esophagectomy (RA...

The prediction of surgical complications using artificial intelligence in patients undergoing major abdominal surgery: A systematic review.

Surgery
BACKGROUND: Conventional statistics are based on a simple cause-and-effect principle. Postoperative complications, however, have a multifactorial and interrelated etiology. The application of artificial intelligence might be more accurate to predict ...