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Postoperative Complications

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Performance of a Machine Learning Algorithm Using Electronic Health Record Data to Predict Postoperative Complications and Report on a Mobile Platform.

JAMA network open
IMPORTANCE: Predicting postoperative complications has the potential to inform shared decisions regarding the appropriateness of surgical procedures, targeted risk-reduction strategies, and postoperative resource use. Realizing these advantages requi...

Propensity-Matched Analysis of the Short-Term Outcome of Robot-Assisted Minimally Invasive Esophagectomy Versus Conventional Thoracoscopic Esophagectomy in Thoracic Esophageal Cancer.

World journal of surgery
BACKGROUND: In this matched-cohort study, we investigated the short-term outcome of robot-assisted minimally invasive esophagectomy (RAMIE) compared with conventional minimally invasive thoracoscopic esophagectomy (MIE) in esophageal cancer patients.

POTTER-ICU: An artificial intelligence smartphone-accessible tool to predict the need for intensive care after emergency surgery.

Surgery
BACKGROUND: Delays in admitting high-risk emergency surgery patients to the intensive care unit result in worse outcomes and increased health care costs. We aimed to use interpretable artificial intelligence technology to create a preoperative predic...

Construction and Implementation of Procedural Nursing System for General Surgery Laparoscopic Surgery Based on Deep Learning.

Journal of healthcare engineering
In order to explore the construction and implementation effect of a procedural nursing system for laparoscopic surgery in general surgery based on deep learning, this article selects 150 cases of laparoscopic surgery patients admitted to our hospital...

Deep Learning and Microscopic Imaging in the Nursing Process of Neurosurgery Operation.

Journal of healthcare engineering
Neurosurgery is mainly for the treatment of head trauma, cerebrovascular disease, brain tumors, and spinal cord disorders. These operations are difficult and risky, so disability and mortality are high. To reduce the risk of surgery, reduce postopera...

Robot-assisted minimally invasive esophagectomy (RAMIE) with side-to-side semi-mechanical anastomosis: analysis of a learning curve.

Updates in surgery
Minimally invasive esophagectomy (MIE) reduces mortality and morbidity related to esophageal surgery, but a long learning curve is necessary due to the technical difficulties of thoracoscopy (35 to 119 patients required as reported in literature). Ro...

Minimally Invasive Esophagectomy Is Associated with Superior Survival Compared to Open Surgery.

The American surgeon
INTRODUCTION: Minimally invasive esophagectomy (MIE) has not been associated with a long-term survival advantage compared to open esophagectomy (OE). We investigated survival differences between MIE, including laparoscopic and robotic, and OE.

Systematic Review: The Learning Curve for Robot-Assisted Radical Cystectomy-What Do We Know?

Journal of endourology
The aim of this systematic review is to assess the robot-assisted radical cystectomy (RARC) learning curve (LC), which is important to consider in both risk-benefit assessment and training. We performed a systematic literature search using two data...

Implementing the Robotic deep inferior epigastric perforator Flap in daily practice: A series of 10 cases.

Journal of plastic, reconstructive & aesthetic surgery : JPRAS
The deep inferior epigastric perforator (DIEP) flap is the workhorse in microvascular breast reconstruction. Rectus muscle sacrifice or denervation and inappropriate rectus sheath closure are the main causes of abdominal wall morbidity. Robotic vesse...