AIMC Topic: Postoperative Period

Clear Filters Showing 41 to 50 of 131 articles

Active robotic technologies for total knee arthroplasty.

Archives of orthopaedic and trauma surgery
INTRODUCTION: When active robotic technologies for Total Knee Arthroplasty (TKA) were introduced over 20 years ago, broad usage of robotic technology was not felt to be needed as early data suggested no clear improvement in clinical outcomes compared...

Assessing the utility of deep neural networks in predicting postoperative surgical complications: a retrospective study.

The Lancet. Digital health
BACKGROUND: Early detection of postoperative complications, including organ failure, is pivotal in the initiation of targeted treatment strategies aimed at attenuating organ damage. In an era of increasing health-care costs and limited financial reso...

Application of fuzzy neural network model and current-voltage analysis of biologically active points for prediction post-surgery risks.

Computer methods in biomechanics and biomedical engineering
The work investigates neural network model for prediction of post-surgical treatment risks. The descriptors of the risk classifiers are formed on the basis of the analysis of the current-voltage characteristics of one, two and three biologically acti...

Can robot-assisted kidney transplantation provide higher quality of life than open kidney transplantation during the early postoperative period?

International journal of clinical practice
PURPOSE: Purpose of this study is to investigate the quality of life (QoL) in patients with end-stage renal disease who underwent open or robot-assisted kidney transplantation (OKT and RAKT).

Understanding risk factors for postoperative mortality in neonates based on explainable machine learning technology.

Journal of pediatric surgery
PURPOSE: We aimed to introduce an explainable machine learning technology to help clinicians understand the risk factors for neonatal postoperative mortality at different levels.

Predicting postoperative opioid use with machine learning and insurance claims in opioid-naïve patients.

American journal of surgery
BACKGROUND: The clinical impact of postoperative opioid use requires accurate prediction strategies to identify at-risk patients. We utilize preoperative claims data to predict postoperative opioid refill and new persistent use in opioid-naïve patien...

Prevalence and predictors of postoperative detrusor underactivity after robot-assisted radical prostatectomy: A prospective observational study.

International journal of urology : official journal of the Japanese Urological Association
OBJECTIVES: To identify the prevalence and predictors of postoperative detrusor underactivity during the early postoperative period after robot-assisted radical prostatectomy.