AIMC Topic: Postoperative Period

Clear Filters Showing 31 to 40 of 125 articles

Effect of tourniquet use on blood loss, pain, functional recovery, and complications in robot-assisted total knee arthroplasty: a prospective, double-blinded, randomized controlled trial.

Journal of orthopaedic surgery and research Feb 21, 2022
BACKGROUND: Robot-assisted total knee arthroplasty (TKA) has been largely studied to confirm its advantages in terms of accurate component positioning, microembolus formation, less blood loss, and so on, but is currently usually performed under tourn...
Postoperative Complications Adolescent Blood Loss, Surgical Recovery of Function Adult Male Middle Aged Range of Motion, Articular Arthroplasty, Replacement, Knee Postoperative Period Tourniquets Robotics Double-Blind Method Pain, Postoperative Humans Prospective Studies Aged, 80 and over Young Adult Female Aged
View on PubMed DOI

Machine learning for classification of postoperative patient status using standardized medical data.

Computer methods and programs in biomedicine Dec 12, 2021
BACKGROUND AND OBJECTIVE: Real-world evidence is defined as clinical evidence regarding the use and potential benefits or risks of a medical product derived from real-world data analyses. Standardization and structuring of data are necessary to analy...
Electronic Health Records Risk Factors Hospitalization Postoperative Period Humans Machine Learning
View on PubMed DOI

Development and Practical Implementation of a Deep Learning-Based Pipeline for Automated Pre- and Postoperative Glioma Segmentation.

AJNR. American journal of neuroradiology Dec 2, 2021
BACKGROUND AND PURPOSE: Quantitative volumetric segmentation of gliomas has important implications for diagnosis, treatment, and prognosis. We present a deep-learning model that accommodates automated preoperative and postoperative glioma segmentatio...
Postoperative Period Image Processing, Computer-Assisted Glioma Magnetic Resonance Imaging Humans Neural Networks, Computer Deep Learning
View on PubMed DOI

Explainable machine learning model for predicting the occurrence of postoperative malnutrition in children with congenital heart disease.

Clinical nutrition (Edinburgh, Scotland) Nov 10, 2021
BACKGROUND & AIMS: Malnutrition is persistent in 50%-75% of children with congenital heart disease (CHD) after surgery, and early prediction is crucial for nutritional intervention. The aim of this study was to develop and validate machine learning (...
Predictive Value of Tests Malnutrition Postoperative Period Heart Defects, Congenital Postoperative Complications Infant ROC Curve Clinical Decision Rules Humans Machine Learning Female Male Algorithms Prospective Studies
View on PubMed DOI

Novel Computer-Aided Diagnosis Software for the Prevention of Retained Surgical Items.

Journal of the American College of Surgeons Sep 27, 2021
BACKGROUND: Retained surgical items are a serious human error. Surgical sponges account for 70% of retained surgical items. To prevent retained surgical sponges, it is important to establish a system that can identify errors and avoid the occurrence ...
Surgical Sponges Humans Phantoms, Imaging Diagnosis, Computer-Assisted Torso Deep Learning Foreign Bodies Software Radiography Sensitivity and Specificity Cadaver Postoperative Period
View on PubMed DOI

Predicting post-operative right ventricular failure using video-based deep learning.

Nature communications Aug 31, 2021
Despite progressive improvements over the decades, the rich temporally resolved data in an echocardiogram remain underutilized. Human assessments reduce the complex patterns of cardiac wall motion, to a small list of measurements of heart function. A...
Retrospective Studies Echocardiography Deep Learning Heart Failure Video Recording Heart Ventricular Dysfunction, Right Postoperative Period Preoperative Care Humans
View on PubMed DOI

Predicting chronic pain in postoperative breast cancer patients with multiple machine learning and deep learning models.

Journal of clinical anesthesia Aug 4, 2021
Postoperative Period Chronic Pain Machine Learning Female Humans Breast Neoplasms Deep Learning
View on PubMed DOI

Active robotic technologies for total knee arthroplasty.

Archives of orthopaedic and trauma surgery Jul 14, 2021
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...
Arthroplasty, Replacement, Knee Postoperative Period Robotics Robotic Surgical Procedures Knee Joint Humans Multicenter Studies as Topic
View on PubMed DOI

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

The Lancet. Digital health Jun 29, 2021
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...
Data Management Female Forecasting Postoperative Complications Postoperative Period Humans Neural Networks, Computer Adolescent Data Analysis Middle Aged ROC Curve Risk Assessment Adult Male Biomedical Technology Databases, Factual Retrospective Studies Area Under Curve Models, Biological Risk Factors Aged
View on PubMed DOI

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 Jun 26, 2021
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...
Neural Networks, Computer Postoperative Period Humans
View on PubMed DOI
Popular Topics
Recent Journals