AIMC Topic: Aged, 80 and over
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Utilizing graph neural networks for adverse health detection and personalized decision making in sensor-based remote monitoring for dementia care.
Computers in biology and medicine
Oct 25, 2024
BACKGROUND: Sensor-based remote health monitoring is increasingly used to detect adverse health in people living with dementia (PLwD) at home, aiming to prevent hospitalizations and reduce caregiver burden. However, home sensor data is often noisy, o...
Detection of Macular Neovascularization in Eyes Presenting with Macular Edema using OCT Angiography and a Deep Learning Model.
Ophthalmology. Retina
Oct 24, 2024
PURPOSE: To test the diagnostic performance of an artificial intelligence algorithm for detecting and segmenting macular neovascularization (MNV) with OCT and OCT angiography (OCTA) in eyes with macular edema from various diagnoses.
Fluorescein Angiography
Macula Lutea
Cross-Sectional Studies
Prospective Studies
Retinal Neovascularization
Male
Female
Retinal Vein Occlusion
Middle Aged
Visual Acuity
Aged
Deep Learning
Humans
Tomography, Optical Coherence
Aged, 80 and over
Diabetic Retinopathy
Fundus Oculi
Algorithms
Macular Edema
An explainable machine learning estimated biological age based on morphological parameters of the spine.
GeroScience
Oct 24, 2024
Accurately estimating biological age is beneficial for measuring aging and predicting risk. It is widely accepted that the prevalence of spine compression increases significantly with age. However, biological age based on vertebral morphological data...
Use of Deep Learning to Identify Peripheral Arterial Disease Cases From Narrative Clinical Notes.
The Journal of surgical research
Oct 24, 2024
INTRODUCTION: Peripheral arterial disease (PAD) is the leading cause of amputation in the United States. Despite affecting 8.5 million Americans and more than 200 million people globally, there are significant gaps in awareness by both patients and p...
Using Atrial Fibrillation Burden Trends and Machine Learning to Predict Near-Term Risk of Cardiovascular Hospitalization.
Circulation. Arrhythmia and electrophysiology
Oct 24, 2024
BACKGROUND: Atrial fibrillation is associated with an increased risk of cardiovascular hospitalization (CVH), which may be triggered by changes in daily burden. Machine learning of dynamic trends in atrial fibrillation burden, as measured by insertab...
Development of Machine Learning Models to Categorize Life Satisfaction in Older Adults in Korea.
Journal of preventive medicine and public health = Yebang Uihakhoe chi
Oct 23, 2024
OBJECTIVES: This study aimed to identify factors associated with life satisfaction by developing machine learning (ML) models to predict life satisfaction in older adults living alone.
Automated Identification of Heart Failure With Reduced Ejection Fraction Using Deep Learning-Based Natural Language Processing.
JACC. Heart failure
Oct 23, 2024
BACKGROUND: The lack of automated tools for measuring care quality limits the implementation of a national program to assess guideline-directed care in heart failure with reduced ejection fraction (HFrEF).
Inter- and intra-rater reliability of cognitive assessment conducted by assistive robot for older adults living in the community: a preliminary study.
Psychogeriatrics : the official journal of the Japanese Psychogeriatric Society
Oct 23, 2024
BACKGROUND: The purpose of this study was to reveal inter- and intra-rater reliability of the detailed evaluation of cognitive function by assistive robot for older adults.
Deep-learning reconstruction enhances image quality of Adamkiewicz Artery in low-keV dual-energy CT.
Acta radiologica (Stockholm, Sweden : 1987)
Oct 22, 2024
BACKGROUND: Low-keV virtual monoenergetic images (VMIs) of dual-energy computed tomography (CT) enhances iodine contrast for detecting small arteries like the Adamkiewicz artery (AKA), but image noise can be problematic. Deep-learning image reconstru...
External evaluation of a commercial artificial intelligence-augmented digital auscultation platform in valvular heart disease detection using echocardiography as reference standard.
International journal of cardiology
Oct 19, 2024
OBJECTIVE: There are few studies evaluating the accuracy of commercially available AI-powered digital auscultation platforms in detecting valvular heart disease (VHD). Therefore, the utility of these systems for diagnosing clinically significant VHD ...
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