Geriatrics

Latest AI and machine learning research in geriatrics for healthcare professionals.

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Showing 1765-1785 of 7,246 articles
End-to-End One-Shot Path-Planning Algorithm for an Autonomous Vehicle Based on a Convolutional Neural Network Considering Traversability Cost.

Path planning plays an important role in navigation and motion planning for robotics and automated d...

Robotic training for medical students: feasibility of a pilot simulation curriculum.

While robotic procedures are growing rapidly, medical students have a limited role in robotic surger...

[User-oriented needs assessment of the potential use of assistive robots in direct nursing care: A mixed methods study].

User-oriented needs assessment of the potential use of assistive robots in direct nursing care: A mi...

Cost analysis of training residents in robotic-assisted surgery.

INTRODUCTION: Use of robotic-assisted surgery is increasing, and resident involvement may lead to hi...

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

BACKGROUND: Pancreaticoduodenectomy (PD) is complex procedure with high morbidity in the elderly. Th...

The usability and feasibility validation of the social robot MINI in people with dementia and mild cognitive impairment; a study protocol.

BACKGROUND: Social robots have demonstrated promising outcomes in terms of increasing the social hea...

Long-distance dependency combined multi-hop graph neural networks for protein-protein interactions prediction.

BACKGROUND: Protein-protein interactions are widespread in biological systems and play an important ...

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

The implementation of care robotics in care settings is identified by some authors as a disruptive i...

Chest X-ray-based opportunistic screening of sarcopenia using deep learning.

BACKGROUND: Early detection and management of sarcopenia is of clinical importance. We aimed to deve...

Artificial intelligence for localization of the acute ischemic stroke by non-contrast computed tomography.

A non-contrast cranial computer tomography (ncCT) is often employed for the diagnosis of the early s...

VGG-TSwinformer: Transformer-based deep learning model for early Alzheimer's disease prediction.

BACKGROUND AND OBJECTIVE: Mild cognitive impairment (MCI) is a transitional state between normal agi...

Off the deep end: What can deep learning do for the gene expression field?

After a COVID-related hiatus, the fifth biennial symposium on Evolution and Core Processes in Gene R...

End-to-End Hierarchical Reinforcement Learning With Integrated Subgoal Discovery.

Hierarchical reinforcement learning (HRL) is a promising approach to perform long-horizon goal-reach...

Dementia Detection from Speech Using Machine Learning and Deep Learning Architectures.

Dementia affects the patient's memory and leads to language impairment. Research has demonstrated th...

Characterizing fall risk factors in Belgian older adults through machine learning: a data-driven approach.

BACKGROUND: Falls are a major problem associated with ageing. Yet, fall-risk classification models i...

Interpretable brain disease classification and relevance-guided deep learning.

Deep neural networks are increasingly used for neurological disease classification by MRI, but the n...

An evaluation of aging measures: from biomarkers to clocks.

With the increasing number of aged population and growing burden of healthy aging demands, a rationa...

Artificial intelligence in elderly healthcare: A scoping review.

The ageing population has led to a surge in the adoption of artificial intelligence (AI) technologie...

End-to-End Protein Normal Mode Frequency Predictions Using Language and Graph Models and Application to Sonification.

The prediction of mechanical and dynamical properties of proteins is an important frontier, especial...

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