PURPOSE: The relevance of pancreatic texture for pancreatic fistula (POPF) formation after distal pancreatectomy (DP) remains ill defined. Recent POPF definition adjustments and common subjective pancreatic texture assessment are further drawbacks in...
The functional and oncologic outcomes of robot-assisted radical prostatectomy (RARP) in octogenarians are not well studied. We sought to study the perioperative, functional, and oncologic outcomes of RARP in octogenarian men. Between January 2009 a...
OBJECTIVE: We sought to assess the performance of the Predictive OpTimal Trees in Emergency Surgery Risk (POTTER) tool in elderly emergency surgery (ES) patients.
The journal of nursing research : JNR
Dec 21, 2020
BACKGROUND: Surgery-related pressure injury (SRPI) is a serious problem in patients who undergo cardiovascular surgery. Identifying patients at a high risk of SRPI is important for clinicians to recognize and prevent it expeditiously. Machine learnin...
BACKGROUND: Accurate prediction of thyroidectomy complications is necessary to inform treatment decisions. Ensemble machine learning provides one approach to improve prediction.
BACKGROUND: This study employed machine learning approaches to analyze sequences of adverse events (AEs) after left ventricular assist device (LVAD) implantation.
CONTEXT: Radical nephrectomy (RN) is the gold standard treatment for large and locally advanced renal tumors. Although robot-assisted radical nephrectomy (RRN) is being increasingly adopted, it remains unclear whether it offers benefits over standard...
To systematically explore the superiority of the transperitoneal approach in robot-assisted partial nephrectomy (TP-RAPN) and retroperitoneal approach in robot-assisted partial nephrectomy (RP-RAPN). Several databases were searched including PubMed...
To summarize the current evidence on robot-assisted radical cystectomy (RARC) with intracorporeal urinary diversion (ICUD) and compare perioperative outcomes and postoperative complications of patients undergoing RARC with extracorporeal urinary div...
We aimed to assess the feasibility of machine learning (ML) algorithm design to predict proliferative vitreoretinopathy (PVR) by ophthalmologists without coding experience using automated ML (AutoML). The study was a retrospective cohort study of 506...