AIMC Topic: Cross-Sectional Studies
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Association of artificial intelligence use and the retention of elderly caregivers: A cross-sectional study based on empowerment theory.
Journal of nursing management
Oct 19, 2022
AIM: The purpose of this study is to investigate how the use of artificial intelligence is associated with the retention of elderly caregivers.
Longitudinal deep learning clustering of Type 2 Diabetes Mellitus trajectories using routinely collected health records.
Journal of biomedical informatics
Oct 8, 2022
Type 2 diabetes mellitus (T2DM) is a highly heterogeneous chronic disease with different pathophysiological and genetic characteristics affecting its progression, associated complications and response to therapies. The advances in deep learning (DL) ...
Disentangled representation for sequential treatment effect estimation.
Computer methods and programs in biomedicine
Oct 5, 2022
BACKGROUND AND OBJECTIVE: Treatment effect estimation, as a fundamental problem in causal inference, focuses on estimating the outcome difference between different treatments. However, in clinical observational data, some patient covariates (such as ...
Development of machine learning support for reading whole body diffusion-weighted MRI (WB-MRI) in myeloma for the detection and quantification of the extent of disease before and after treatment (MALIMAR): protocol for a cross-sectional diagnostic test accuracy study.
BMJ open
Oct 5, 2022
INTRODUCTION: Whole-body MRI (WB-MRI) is recommended by the National Institute of Clinical Excellence as the first-line imaging tool for diagnosis of multiple myeloma. Reporting WB-MRI scans requires expertise to interpret and can be challenging for ...
Deep learning alignment of bidirectional raster scanning in high speed photoacoustic microscopy.
Scientific reports
Sep 28, 2022
Simultaneous point-by-point raster scanning of optical and acoustic beams has been widely adapted to high-speed photoacoustic microscopy (PAM) using a water-immersible microelectromechanical system or galvanometer scanner. However, when using high-sp...
Role of Artificial Intelligence and Machine Learning in the prediction of the pain: A scoping systematic review.
Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine
Sep 23, 2022
Artificial Intelligence in healthcare is growing quickly in diagnostics and treatment management. Despite the quantity and variety of studies its role in clinical care is not clear. To identify the evidence gaps and characteristics of the Artificial ...
Deep Learning-Based Noise Reduction Improves Optical Coherence Tomography Angiography Imaging of Radial Peripapillary Capillaries in Advanced Glaucoma.
Current eye research
Sep 22, 2022
PURPOSE: We applied deep learning-based noise reduction (NR) to optical coherence tomography-angiography (OCTA) images of the radial peripapillary capillaries (RPCs) in eyes with glaucoma and investigated the usefulness of this method as an objective...
Comparison of three machine learning models to predict suicidal ideation and depression among Chinese adolescents: A cross-sectional study.
Journal of affective disorders
Sep 16, 2022
BACKGROUND: Machine learning (ML) algorithms based on various clinicodemographic, psychometric, and biographic factors have been used to predict depression, suicidal ideation, and suicide attempt in adolescents, but there is still a need for more acc...
Comments on "Identifying psychological antecedents and predictors of vaccine hesitancy through machine learning: A cross sectional study among chronic disease patients of deprived urban neighbourhood, India".
Monaldi archives for chest disease = Archivio Monaldi per le malattie del torace
Sep 13, 2022
Dear Editor, we read the publication by Rustagi et al. "Identifying psychological antecedents and predictors of vaccine hesitancy through machine learning: A cross sectional study among chronic disease patients of deprived urban neighbourhood, India"...
Deep learning-based quantitative estimation of lymphedema-induced fibrosis using three-dimensional computed tomography images.
Scientific reports
Sep 13, 2022
In lymphedema, proinflammatory cytokine-mediated progressive cascades always occur, leading to macroscopic fibrosis. However, no methods are practically available for measuring lymphedema-induced fibrosis before its deterioration. Technically, CT can...
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