Geriatrics

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

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Showing 3529-3549 of 8,132 articles
Review on design and control aspects of ankle rehabilitation robots.

Ankle rehabilitation robots can play an important role in improving outcomes of the rehabilitation t...

Dec 2013 24320195
Multimodal sleep stage classification and label-free abnormality scoring in mid-to-older adults

Background: Sleep fragmentation and reduced sleep efficiency are markers of disrupted sleep architec...

MultiAge: A New Multidimensional Biomarker of Biological Age Derived from Comprehensive Phenotypic and Molecular Profiling

Background: It is an everyday observation that people of the same chronological age differ with resp...

Prototyping a Generative AI-powered Person-centered Digital Health Tool to Mitigate Risk of Preventable Adverse Drug Events

Objectives: Older adults with comorbidities and polypharmacy have disproportionately high risk of ho...

Calibrating trust in AI-assisted pituitary surgery

Background: Endoscopic endonasal transsphenoidal surgery (EETS) requires navigation around neurocrit...

Predicting the timing of first sustained cognitive worsening in Alzheimer's disease using real-world clinical data and machine learning

Background: Cognitive assessments are sparsely documented in electronic health records (EHRs), limit...

A Real-Time Automated Deep Learning Workflow for Non-invasive High-Magnification Imaging of C. elegans

Caenorhabditis elegans is a premier model organism for aging and neurobiology research, valued for i...

Smart AI-Powered Machine Learning Risk Assessment for Early Osteoporosis Detection for Women Bone Health

Osteoporosis is often called a silent disease because it progresses without symptoms until a fractur...

Multiplex Proteomics of Lewy Body Dementia Reveals Cerebrospinal Fluid Biomarkers of Clinical and Neuropathological Heterogeneity

Lewy body dementia (LBD), which encompasses Parkinson's disease dementia (PDD) and Dementia with Lew...

Trustworthy ML/AI for Aging Clocks: Preventing Systematic Prediction Bias in Biological Age Estimation

Machine learning (ML)- and artificial intelligence (AI)-based aging clocks are increasingly used to ...

Towards A Foundation Model for Clinical Voice Biomarkers

Vocal biomarkers, encompassing voice and speech, have largely been developed for individual conditio...

A Multi-Agent RAG Framework for Biomedical Literature Analysis

Background: The biomedical literature is expanding at an unprecedented rate, with over 4,000 new art...

CellExLink: End-to-end cell-type recognition and normalization in biomedical text

Cell-type extraction is an important task in biomedical text mining because biomedical literature co...

Revisiting CPUs for Protein Folding: Xeon-Based Acceleration of AlphaFold2

Protein structure prediction via AlphaFold2 has revolutionized drug discovery, yet its end-to-end ex...

Wearable and Interview-based Assessment of Psychological Risk in Alzheimers Caregivers: Machine Learning vs. Large Language Models

Spousal caregivers of individuals with Alzheimers disease and related dementias frequently experienc...

Patterns of Typical and Atypical Age-related Brainstem Volume losses

Background: The brainstem and its different sub-systems control essential functions such as motor ag...

CSV-ViT: A Vision Transformer with the Variable-sized Cortical Supervertices for Detection of Alzheimer's Disease Pathologies

Confirming Alzheimer's disease (AD) typically relies on positron emission tomography (PET), which re...

Object Pose and Shape Estimation for Grasping: Does it Work?

The problem of object pose and shape estimation has seen key advancements lately. Encoder-decoder (e...

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