AIMC Topic: Length of Stay

Clear Filters Showing 141 to 150 of 418 articles

Novel Gerota-edge-sling technique facilitates retroperitoneal robot-assisted partial nephrectomy: a comparative study.

BMC urology
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 preliminary prediction model using a deep learning software program for prolonged hospitalization after cardiovascular surgery.

Surgery today
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 ...

Prediction algorithm for ICU mortality and length of stay using machine learning.

Scientific reports
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...

Machine learning and artificial intelligence in cardiac transplantation: A systematic review.

Artificial organs
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...

Pragmatic Prediction of Excessive Length of Stay After Cervical Spine Surgery With Machine Learning and Validation on a National Scale.

Neurosurgery
BACKGROUND: Extended postoperative hospital stays are associated with numerous clinical risks and increased economic cost. Accurate preoperative prediction of extended length of stay (LOS) can facilitate targeted interventions to mitigate clinical ha...

Robot assisted laparoscopic adrenalectomy: Should this be the new standard?

Urologia
INTRODUCTION: Minimal invasive surgeries (MIS) for large size adrenal tumors are still debatable. The objective is to evaluate the contemporary peri- and post-operative outcomes of patients undergoing (open = OA, laparoscopic = LA, and robotic = RA) ...

Robotic colon surgery in obese patients: a systematic review and meta-analysis.

ANZ journal of surgery
BACKGROUND: Colon cancer resection can be technically difficult in the obese (OB) population. Robotic surgery is a promising technique but its benefits remain uncertain in OB patients. The aim of this study is to compare OB versus non-obese (NOB) pat...

Robot-assisted liver resection: the real benefit so far.

Langenbeck's archives of surgery
BACKGROUND: Minimally invasive liver resection is associated with lower perioperative morbidity and shorter hospital stay. However, the added benefit of the robotic platform over conventional laparoscopy is a matter of ongoing investigation.

Robot-assisted and conventional urology surgical procedures: comparison of average length of stay, economic status, operative time and patient's expenditure in a tertiary care hospital of North India.

Journal of robotic surgery
Robot-assisted surgeries allows the surgeons to operate using remote-controlled robotic arms that are more effective in comparison to conventional (open/laparoscopic) surgeries. However, there is substantial lack of evidence on the effectiveness of r...

Network analytics and machine learning for predicting length of stay in elderly patients with chronic diseases at point of admission.

BMC medical informatics and decision making
BACKGROUND: An aging population with a burden of chronic diseases puts increasing pressure on health care systems. Early prediction of the hospital length of stay (LOS) can be useful in optimizing the allocation of medical resources, and improving he...