BACKGROUND: The objective of this meta-analysis was to compare the clinical and oncologic outcomes of robotic low anterior resection (R-LAR) with conventional laparoscopic low anterior resection (L-LAR).
BACKGROUND: The volume of fluid administered during trauma resuscitation correlates with the risk of abdominal compartment syndrome (ACS). The exact volume at which this risk rises is uncertain. We established the inflection point for ACS risk during...
BACKGROUND: Advanced predictive analytical techniques are being increasingly applied to clinical risk assessment. This study compared a neural network model to several other models in predicting the length of stay (LOS) in the cardiac surgical intens...
International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics
Dec 9, 2015
BACKGROUND: Robot-assisted laparoscopic sacrocolpopexy (RALSC) has spread rapidly without the availability of comprehensive and systematically recorded outcome data.
PURPOSE: In intensive care unit (ICU) patients in whom bronchoalveolar lavage fluid (BALF) was analyzed for suspected infectious pulmonary disease, we investigated the association of herpes simplex virus (HSV) in the BALF with lung injury and patient...
Journal of laparoendoscopic & advanced surgical techniques. Part A
Sep 14, 2015
OBJECTIVE: Few studies have directly assessed the impact of tumor anterior/posterior location during transperitoneal robotic-assisted laparoscopic partial nephrectomy (TPRPN). The present study sought to assess perioperative and pathological outcomes...
Robotic system has been increasingly used in pancreatectomy. However, the effectiveness of this method remains uncertain. This study compared the surgical outcomes between robot-assisted laparoscopic distal pancreatectomy and conventional laparoscopi...
Journal of the American Medical Informatics Association : JAMIA
Aug 7, 2015
OBJECTIVE: Hospitals are challenged to provide timely patient care while maintaining high resource utilization. This has prompted hospital initiatives to increase patient flow and minimize nonvalue added care time. Real-time demand capacity managemen...
Burns : journal of the International Society for Burn Injuries
Jul 29, 2015
BACKGROUND: To date, there are no reviews on machine learning (ML) in burn care. Considering the growth of ML in medicine and the complexities and challenges of burn care, this review specializes on ML applications in burn care. The objective was to ...