AIMC Topic: Aged

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My Precious Friend: Human-Robot Interactions in Home Care for Socially Isolated Older Adults.

Clinical gerontologist
OBJECTIVES: Using a friendship framework, we explored interactions between a multi-functional companion robot and older adults residing in a low-resource community in South Korea.

Investigating the Association between Streetscapes and Mental Health in Zhanjiang, China: Using Baidu Street View Images and Deep Learning.

International journal of environmental research and public health
Mental health is one of the main factors that significantly affect one's life. Previous studies suggest that streets are the main activity space for urban residents and have important impacts on human mental health. Existing studies, however, have no...

Cost-Effectiveness and Value of Information Analysis of an Ambient Intelligent Geriatric Management (AmbIGeM) System Compared to Usual Care to Prevent Falls in Older People in Hospitals.

Applied health economics and health policy
BACKGROUND: The Ambient Intelligent Geriatric Management (AmbIGeM) system combines wearable sensors with artificial intelligence to trigger alerts to hospital staff before a fall. A clinical trial found no effect across a heterogenous population, but...

A Machine Learning Model for Prediction of Amputation in Diabetics.

Journal of diabetes science and technology
BACKGROUND: Diabetic foot ulcer (DFU) and the resulting lower extremity amputation are associated with a poor survival prognosis. The objective of this study is to generate a model for predicting the probability of major amputation in hospitalized pa...

Predicting Hypoperfusion Lesion and Target Mismatch in Stroke from Diffusion-weighted MRI Using Deep Learning.

Radiology
Background Perfusion imaging is important to identify a target mismatch in stroke but requires contrast agents and postprocessing software. Purpose To use a deep learning model to predict the hypoperfusion lesion in stroke and identify patients with ...

Artificial Intelligence for Clinical Interpretation of Bedside Chest Radiographs.

Radiology
Background Supine chest radiography for bedridden patients in intensive care units (ICUs) is one of the most frequently ordered imaging studies worldwide. Purpose To evaluate the diagnostic performance of a neural network-based model that is trained ...

Image Classification Using Multiple Convolutional Neural Networks on the Fashion-MNIST Dataset.

Sensors (Basel, Switzerland)
As the elderly population grows, there is a need for caregivers, which may become unsustainable for society. In this situation, the demand for automated help increases. One of the solutions is service robotics, in which robots have automation and sho...

Robotic versus open pancreaticoduodenectomy in elderly patients: a propensity score-matched analysis.

HPB : the official journal of the International Hepato Pancreato Biliary Association
BACKGROUND: Pancreaticoduodenectomy (PD) is complex procedure with high morbidity in the elderly. This retrospective study aimed to compare post-operative outcomes in patients ≥75 years of age who underwent robot-assisted (RA)PD and open PD.

Robot Technology for the Elderly and the Value of Veracity: Disruptive Technology or Reinvigorating Entrenched Principles?

Science and engineering ethics
The implementation of care robotics in care settings is identified by some authors as a disruptive innovation, in the sense that it will upend the praxis of care. It is an open ethical question whether this alleged disruption will also have a transfo...

Neurosurgery inpatient outcome prediction for discharge planning with deep learning and transfer learning.

British journal of neurosurgery
INTRODUCTION: Deep learning may be able to assist with the prediction of neurosurgical inpatient outcomes. The aims of this study were to investigate deep learning and transfer learning in the prediction of several inpatient outcomes including timing...