AIMC Topic: Aged
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Effect of a Group-Based Personal Assistive RObot (PARO) Robot Intervention on Cognitive Function, Autonomic Nervous System Function, and Mental Well-being in Older Adults with Mild Dementia: A Randomized Controlled Trial.
Journal of the American Medical Directors Association
Aug 22, 2024
OBJECTIVES: Personal Assistive RObot (PARO) interventions have been used to treat agitation and mood symptoms of dementia effectively. However, the effects of a PARO intervention on physiological and cognitive function are unclear. To examine the eff...
Investigating the role of artificial intelligence in predicting perceived dysphonia level.
European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery
Aug 22, 2024
PURPOSE: This study aims to investigate the role of one of these models in the field of voice pathology and compare its performance in distinguishing the perceived dysphonia level.
Multiparametric Ultrasound Imaging of Prostate Cancer Using Deep Neural Networks.
Ultrasound in medicine & biology
Aug 22, 2024
OBJECTIVE: A deep neural network (DNN) was trained to generate a multiparametric ultrasound (mpUS) volume from four input ultrasound-based modalities (acoustic radiation force impulse [ARFI] imaging, shear wave elasticity imaging [SWEI], quantitative...
Interpretable machine learning models based on shear-wave elastography radiomics for predicting cardiovascular disease in diabetic kidney disease patients.
Journal of diabetes investigation
Aug 22, 2024
BACKGROUND: The risk of cardiovascular complications is significantly elevated in patients with diabetic kidney disease (DKD). Recognizing the link between the progression of DKD and an increased risk of cardiovascular disease (CVD), it is crucial to...
Investigation of emergency department abandonment rates using machine learning algorithms in a single centre study.
Scientific reports
Aug 22, 2024
A critical problem that Emergency Departments (EDs) must address is overcrowding, as it causes extended waiting times and increased patient dissatisfaction, both of which are immediately linked to a greater number of patients who leave the ED early, ...
Recruitment in Appalachian, Rural and Older Adult Populations in an Artificial Intelligence World: Study Using Human-Mediated Follow-Up.
JMIR formative research
Aug 22, 2024
BACKGROUND: Participant recruitment in rural and hard-to-reach (HTR) populations can present unique challenges. These challenges are further exacerbated by the need for low-cost recruiting, which often leads to use of web-based recruitment methods (e...
Deep Learning and fMRI-Based Pipeline for Optimization of Deep Brain Stimulation During Parkinson's Disease Treatment: Toward Rapid Semi-Automated Stimulation Optimization.
IEEE journal of translational engineering in health and medicine
Aug 22, 2024
OBJECTIVE: Optimized deep brain stimulation (DBS) is fast becoming a therapy of choice for the treatment of Parkinson's disease (PD). However, the post-operative optimization (aimed at maximizing patient clinical benefits and minimizing adverse effec...
Multiparametric MRI-Based Deep Learning Radiomics Model for Assessing 5-Year Recurrence Risk in Non-Muscle Invasive Bladder Cancer.
Journal of magnetic resonance imaging : JMRI
Aug 21, 2024
BACKGROUND: Accurately assessing 5-year recurrence rates is crucial for managing non-muscle-invasive bladder carcinoma (NMIBC). However, the European Organization for Research and Treatment of Cancer (EORTC) model exhibits poor performance.
Multiparametric Magnetic Resonance Imaging
Non-Muscle Invasive Bladder Neoplasms
Male
Middle Aged
Reproducibility of Results
Risk Assessment
Neoplasm Invasiveness
Deep Learning
Humans
Magnetic Resonance Imaging
Risk Factors
Neoplasm Recurrence, Local
Retrospective Studies
Aged
Urinary Bladder
Urinary Bladder Neoplasms
Female
Radiomics
Examining worry and secondary stressors on grief severity using machine learning.
Anxiety, stress, and coping
Aug 21, 2024
BACKGROUND & OBJECTIVES: Worry and loss-related secondary stressors appear to be important correlates of problematic grief responses. However, the relative importance of these variables in the context of established correlates of grief responding, ra...
Prediction of 90 day readmission in heart failure with preserved ejection fraction by interpretable machine learning.
ESC heart failure
Aug 21, 2024
AIMS: Certain critical risk factors of heart failure with preserved ejection fraction (HFpEF) patients were significantly different from those of heart failure with reduced ejection fraction (HFrEF) patients, resulting in the limitations of existing ...
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