Robot-assisted thoracic surgery (RATS) is a rapidly evolving surgical technique in Europe. The aim of the study was to analyse the learning curve and safety during the establishment of a RATS-program at a high-volume thoracic surgery centre and to qu...
BACKGROUND: The optimal repair of ventral hernia remains unknown. We aimed to evaluate the results after robotic-assisted laparoscopic transabdominal repair with retrorectus mesh placement (rRetrorectus) compared with laparoscopic intraperitoneal onl...
Computational intelligence and neuroscience
Aug 30, 2022
The influx of hospital patients has become common in recent years. Hospital management departments need to redeploy healthcare resources to meet the massive medical needs of patients. In this process, the hospital length of stay (LOS) of different pa...
The aging world population requires a sustainable and high-quality healthcare system. To examine the efficiency of medical cooperation, medical provider and physician networks were constructed using patient claims data. Previous studies have shown th...
BACKGROUND: Minimally invasive surgery (MIS) for gastric cancer is increasingly performed. The purpose of this study is to evaluate trends in utilization of laparoscopic and robotic techniques compared to open surgery as well as utilization based on ...
BACKGROUND: Minimally invasive techniques for pancreaticoduodenectomy (PD) are increasing in practice, however, data remains limited regarding perioperative outcomes. Our study sought to compare patients undergoing open pancreaticoduodenectomy (OPD) ...
BACKGROUND: Retroperitoneal robotic partial nephrectomy is markedly restricted by limited space and visual field. We introduced a novel Gerota-edge-sling (GES) technique with self-designed traction devices to overcome these defects by attaching Gerot...
A prolonged length of hospital stay (LOS) has become an important issue among patients undergoing cardiovascular surgery in our aging society. However, there are no established prediction models for a prolonged LOS. We therefore created a prediction ...
Machine learning can predict outcomes and determine variables contributing to precise prediction, and can thus classify patients with different risk factors of outcomes. This study aimed to investigate the predictive accuracy for mortality and length...
BACKGROUND: This review aims to systematically evaluate the currently available evidence investigating the use of artificial intelligence (AI) and machine learning (ML) in the field of cardiac transplantation. Furthermore, based on the challenges ide...
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