AIMC Topic: Aged

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Evaluation of deep learning reconstructed high-resolution 3D lumbar spine MRI.

European radiology
OBJECTIVES: To compare interobserver agreement and image quality of 3D T2-weighted fast spin echo (T2w-FSE) L-spine MRI images processed with a deep learning reconstruction (DLRecon) against standard-of-care (SOC) reconstruction, as well as against 2...

Diagnostic accuracy of a commercially available deep-learning algorithm in supine chest radiographs following trauma.

The British journal of radiology
OBJECTIVES: Trauma chest radiographs may contain subtle and time-critical pathology. Artificial intelligence (AI) may aid in accurate reporting, timely identification and worklist prioritisation. However, few AI programs have been externally validate...

Information Extraction From Electronic Health Records to Predict Readmission Following Acute Myocardial Infarction: Does Natural Language Processing Using Clinical Notes Improve Prediction of Readmission?

Journal of the American Heart Association
Background Social risk factors influence rehospitalization rates yet are challenging to incorporate into prediction models. Integration of social risk factors using natural language processing (NLP) and machine learning could improve risk prediction ...

Effectiveness of individualized training based on force-velocity profiling on physical function in older men.

Scandinavian journal of medicine & science in sports
The study aimed to investigate the effectiveness of an individualized power training program based on force-velocity (FV) profiling on physical function, muscle morphology, and neuromuscular adaptations in older men. Forty-nine healthy men (68 ± 5 ye...

Starting CT-guided robotic interventional oncology at a UK centre.

The British journal of radiology
OBJECTIVE: A commercially available CT-guided robot offers enhanced abilities in planning, targeting, and confirming accurate needle placement. In this short communication, we describe our first UK experience of robotic interventional oncology proced...

Ethical Design and Use of Robotic Care of the Elderly.

Journal of bioethical inquiry
The Australian Royal Commission into Aged Care Quality and Safety acknowledged understaffing and substandard care in residential aged care and home care services, and recommendations were made that that the Australian Government should promote assist...

No thank you to humanized robots: attitudes to care robots in elder care services.

Home health care services quarterly
The growing older population will increase the demands on the health and welfare systems, including elder care services. One way of meeting these growing service needs is to shift from traditional care services to technologically oriented services. R...

Artificial intelligence can detect left ventricular dilatation on contrast-enhanced thoracic computer tomography relative to cardiac magnetic resonance imaging.

The British journal of radiology
OBJECTIVES: To assess the diagnostic accuracy of an automated algorithm to detect left ventricular (LV) dilatation on non-ECG gated CT, using cardiac magnetic resonance (CMR) as reference standard.

Designing Robots for Elderly from the Perspective of Potential End-Users: A Sociological Approach.

International journal of environmental research and public health
The proposed research aims to investigate the problem of age-friendly robot designing from the perspective of the potential end-users. The initial objectives addressed three main issues: how the elderly envision robots and their knowledge on technolo...

Maskless 2-Dimensional Digital Subtraction Angiography Generation Model for Abdominal Vasculature using Deep Learning.

Journal of vascular and interventional radiology : JVIR
PURPOSE: To develop a deep learning (DL) model to generate synthetic, 2-dimensional subtraction angiograms free of artifacts from native abdominal angiograms.