AIMC Topic: Postoperative Complications

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Machine learning models in clinical practice for the prediction of postoperative complications after major abdominal surgery.

Surgery today
Complications after surgery have a major impact on short- and long-term outcomes, and decades of technological advancement have not yet led to the eradication of their risk. The accurate prediction of complications, recently enhanced by the developme...

Remote-access robotic thyroidectomy: A systematic review.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: Recently, robotic surgery has been introduced as a new surgical approach to the thyroid.

Short and Intermediate-Term Outcome of Robot-Assisted Inverted YV-Plasty for Recurrent Bladder Neck Stenosis - a Single Centre Study.

Urology
OBJECTIVE: To report the technique and preliminary results for extraperitoneal robot-assisted laparoscopic YV-plasty (RAYV) for refractory bladder neck stenosis (BNS) and vesicoureteral anastomosis stenosis (VUAS).

Perioperative outcomes of robot-assisted versus laparoscopic liver resection for cavernous hemangioma: a propensity score matching study.

Surgical endoscopy
BACKGROUND: Minimally invasive techniques have increasingly been adopted for liver resection. This study aimed to compare the perioperative outcomes of robot-assisted liver resection (RALR) with laparoscopic liver resection (LLR) for liver cavernous ...

Evaluation of the advantages of robotic versus laparoscopic surgery in elderly patients with colorectal cancer.

BMC geriatrics
BACKGROUND: The incidence of colorectal cancer increases with aging. Curative-intent surgery based on a minimally invasive concept is expected to bring survival benefits to elderly patients (aged over 80 years) with colorectal cancer who are frequent...

Hybrid laparoscopic versus fully robot-assisted minimally invasive esophagectomy: an international propensity-score matched analysis of perioperative outcome.

Surgical endoscopy
BACKGROUND: Currently, little is known regarding the optimal technique for the abdominal phase of RAMIE. The aim of this study was to investigate the outcome of robot-assisted minimally invasive esophagectomy (RAMIE) in both the abdominal and thoraci...

Deep learning-based prediction model for postoperative complications of cervical posterior longitudinal ligament ossification.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
PURPOSE: Postoperative complication prediction helps surgeons to inform and manage patient expectations. Deep learning, a model that finds patterns in large samples of data, outperform traditional statistical methods in making predictions. This study...

Robot-assisted vs. open radical cystectomy: systematic review and meta-analysis of randomized controlled trials.

Actas urologicas espanolas
INTRODUCTION: Several randomized controlled trials (RCTs) have been launched in the last decade to examine the surgical safety and oncological efficacy of robot-assisted (RARC) vs open radical cystectomy (ORC) for patients with bladder cancer. The ai...

Intrathoracic Robotic-Sewn Anastomosis During Ivor Lewis Esophagectomy for Cancer: Back to Basics?

Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract
BACKGROUND: To assess the feasibility, clinical utility, and safety of intrathoracic robotic-sewn esophageal anastomosis (IrEA) during Ivor Lewis esophagectomy for adenocarcinoma of the lower third of the esophagus, or cancer at the gastro-esophageal...

Learning curves in robot-assisted minimally invasive liver surgery at a high-volume center in Denmark: Report of the first 100 patients and review of literature.

Scandinavian journal of surgery : SJS : official organ for the Finnish Surgical Society and the Scandinavian Surgical Society
BACKGROUND AND OBJECTIVE: Minimally invasive liver surgery is evolving worldwide, and robot-assisted liver surgery (RLS) can deliver obvious benefits for patients. However, so far no large case series have documented the learning curve for RLS.