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Learning and depicting lobe-based radiomics feature for COPD Severity staging in low-dose CT images.
BMC pulmonary medicine
Jun 24, 2024
BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a prevalent and debilitating respiratory condition that imposes a significant healthcare burden worldwide. Accurate staging of COPD severity is crucial for patient management and treatment p...
Neural network model for prediction of possible sarcopenic obesity using Korean national fitness award data (2010-2023).
Scientific reports
Jun 24, 2024
Sarcopenic obesity (SO) is characterized by concomitant sarcopenia and obesity and presents a high risk of disability, morbidity, and mortality among older adults. However, predictions based on sequential neural network SO studies and the relationshi...
Identifying the risk of exercises, recommended by an artificial intelligence for patients with musculoskeletal disorders.
Scientific reports
Jun 24, 2024
Musculoskeletal disorders (MSDs) impact people globally, cause occupational illness and reduce productivity. Exercise therapy is the gold standard treatment for MSDs and can be provided by physiotherapists and/or also via mobile apps. Apart from the ...
Prediction of hepatic metastasis in esophageal cancer based on machine learning.
Scientific reports
Jun 24, 2024
This study aimed to establish a machine learning (ML) model for predicting hepatic metastasis in esophageal cancer. We retrospectively analyzed patients with esophageal cancer recorded in the Surveillance, Epidemiology, and End Results (SEER) databas...
Determination of prognostic markers for COVID-19 disease severity using routine blood tests and machine learning.
Anais da Academia Brasileira de Ciencias
Jun 24, 2024
The need for the identification of risk factors associated to COVID-19 disease severity remains urgent. Patients' care and resource allocation can be potentially different and are defined based on the current classification of disease severity. This ...
Video-Based Detection of Freezing of Gait in Daily Clinical Practice in Patients With Parkinsonism.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Jun 24, 2024
Freezing of gait (FoG) is a prevalent symptom among individuals with Parkinson's disease and related disorders. FoG detection from videos has been developed recently; however, the process requires using videos filmed within a controlled environment. ...
Deep Learning-Enabled Automated Quality Control for Liver MR Elastography: Initial Results.
Journal of magnetic resonance imaging : JMRI
Jun 22, 2024
BACKGROUND: Several factors can impair image quality and reliability of liver magnetic resonance elastography (MRE), such as inadequate driver positioning, insufficient wave propagation and patient-related factors.
Deep learning-based detection of lumbar spinal canal stenosis using convolutional neural networks.
The spine journal : official journal of the North American Spine Society
Jun 22, 2024
BACKGROUND CONTEXT: Lumbar spinal canal stenosis (LSCS) is the most common spinal degenerative disorder in elderly people and usually first seen by primary care physicians or orthopedic surgeons who are not spine surgery specialists. Magnetic resonan...
Translational artificial intelligence-led optimization and realization of estimated discharge with a supportive weekend interprofessional flow team (TAILORED-SWIFT).
Internal and emergency medicine
Jun 22, 2024
Weekend discharges occur less frequently than discharges on weekdays, contributing to hospital congestion. Artificial intelligence algorithms have previously been derived to predict which patients are nearing discharge based upon ward round notes. In...
Siamese Graph Convolutional Network quantifies increasing structure-function discrepancy over the cognitive decline continuum.
Computer methods and programs in biomedicine
Jun 22, 2024
BACKGROUND AND OBJECTIVE: Alzheimer's disease dementia (ADD) is well known to induce alterations in both structural and functional brain connectivity. However, reported changes in connectivity are mostly limited to global/local network features, whic...
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