AIMC Topic: Aged, 80 and over
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Application of Machine Learning to Identify Clustering of Cardiometabolic Risk Factors in U.S. Adults.
Diabetes technology & therapeutics
Apr 10, 2019
The aim of this study is to compare some machine learning methods with traditional statistical parametric analyses using logistic regression to investigate the relationship of risk factors for diabetes and cardiovascular (cardiometabolic risk) for U...
Deep learning-based image restoration algorithm for coronary CT angiography.
European radiology
Apr 8, 2019
OBJECTIVES: The purpose of this study was to compare the image quality of coronary computed tomography angiography (CTA) subjected to deep learning-based image restoration (DLR) method with images subjected to hybrid iterative reconstruction (IR).
Machine learning for the prediction of volume responsiveness in patients with oliguric acute kidney injury in critical care.
Critical care (London, England)
Apr 8, 2019
BACKGROUND AND OBJECTIVES: Excess fluid balance in acute kidney injury (AKI) may be harmful, and conversely, some patients may respond to fluid challenges. This study aimed to develop a prediction model that can be used to differentiate between volum...
Heterogeneous effects of alveolar recruitment in acute respiratory distress syndrome: a machine learning reanalysis of the Alveolar Recruitment for Acute Respiratory Distress Syndrome Trial.
British journal of anaesthesia
Apr 5, 2019
BACKGROUND: Despite a robust physiological rationale, recruitment manoeuvres with PEEP titration were associated with harm in the Alveolar Recruitment for Acute Respiratory Distress Syndrome Trial (ART). We sought to investigate the potential heterog...
Upper limb robot-assisted rehabilitation versus physical therapy on subacute stroke patients: A follow-up study.
Journal of bodywork and movement therapies
Apr 4, 2019
This study aims to analyse the long-term effects (6 months follow-up) of upper limb Robot-assisted Therapy (RT) compared to Traditional physical Therapy (TT), in subacute stroke patients. Although the literature on upper-limb rehabilitation with robo...
Application of MR morphologic, diffusion tensor, and perfusion imaging in the classification of brain tumors using machine learning scheme.
Neuroradiology
Apr 4, 2019
PURPOSE: While MRI is the modality of choice for the assessment of patients with brain tumors, differentiation between various tumors based on their imaging characteristics might be challenging due to overlapping imaging features. The purpose of this...
A Supervised Approach to Robust Photoplethysmography Quality Assessment.
IEEE journal of biomedical and health informatics
Apr 3, 2019
Early detection of Atrial Fibrillation (AFib) is crucial to prevent stroke recurrence. New tools for monitoring cardiac rhythm are important for risk stratification and stroke prevention. As many of new approaches to long-term AFib detection are now ...
Utilization of Minimally Invasive Thymectomy and Margin-Negative Resection for Early-Stage Thymoma.
The Annals of thoracic surgery
Apr 3, 2019
BACKGROUND: Minimally invasive thymectomy (MIT) has demonstrated improved short-term outcomes compared with open thymectomy (OT). Although adoption of MIT for thymoma is increasing, oncologic outcomes have not been well characterized.
Artificial intelligence detection of distal radius fractures: a comparison between the convolutional neural network and professional assessments.
Acta orthopaedica
Apr 3, 2019
Background and purpose - Artificial intelligence has rapidly become a powerful method in image analysis with the use of convolutional neural networks (CNNs). We assessed the ability of a CNN, with a fast object detection algorithm previously identify...
Diagnostic accuracy of frontotemporal dementia. An artificial intelligence-powered study of symptoms, imaging and clinical judgement.
Advances in medical sciences
Apr 2, 2019
PURPOSE: Frontotemporal dementia (FTD) is a neurodegenerative disorder associated with a poor prognosis and a substantial reduction in quality of life. The rate of misdiagnosis of FTD is very high, with patients often waiting for years without a firm...
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