Geriatrics

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

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Subcategories: Alzheimer's Disease Medicare
Showing 715-735 of 7,204 articles
Attention-Guided 3D CNN With Lesion Feature Selection for Early Alzheimer's Disease Prediction Using Longitudinal sMRI.

Predicting the progression from mild cognitive impairment (MCI) to Alzheimer's disease (AD) is criti...

Harmonic Wavelet Neural Network for Discovering Neuropathological Propagation Patterns in Alzheimer's Disease.

Emerging researchindicates that the degenerative biomarkers associated with Alzheimer's disease (AD)...

Constructing a metadata knowledge graph as an atlas for demystifying AI pipeline optimization.

The emergence of advanced artificial intelligence (AI) models has driven the development of framewor...

Machine learning-based 28-day mortality prediction model for elderly neurocritically Ill patients.

BACKGROUND: The growing population of elderly neurocritically ill patients highlights the need for e...

Alzheimer's disease recognition using graph neural network by leveraging image-text similarity from vision language model.

Alzheimer's disease (AD), a progressive neurodegenerative condition, notably impacts cognitive funct...

From Genes to Metabolites: HSP90B1's Role in Alzheimer's Disease and Potential for Therapeutic Intervention.

Alzheimer's disease (AD) is a prototypical neurodegenerative disorder, predominantly affecting indiv...

ChatGPT's Attitude, Knowledge, and Clinical Application in Geriatrics Practice and Education: Exploratory Observational Study.

BACKGROUND: The increasing use of ChatGPT in clinical practice and medical education necessitates th...

An end-to-end implicit neural representation architecture for medical volume data.

Medical volume data are rapidly increasing, growing from gigabytes to petabytes, which presents sign...

Gut microbial composition associated with risk of premature aging in women with Yin-deficiency constitution.

BACKGROUND: Yin-deficiency constitution (YinDC) refers to a traditional Chinese medicine concept, ch...

ReIU: an efficient preliminary framework for Alzheimer patients based on multi-model data.

The rising incidence of Alzheimer's disease (AD) poses significant challenges to traditional diagnos...

Leveraging deep learning for robust EEG analysis in mental health monitoring.

INTRODUCTION: Mental health monitoring utilizing EEG analysis has garnered notable interest due to t...

Logical reasoning for human activity recognition based on multisource data from wearable device.

Smart wearable devices detection and recording of people's everyday activities is critical for healt...

Selective diagnostics of Amyotrophic Lateral Sclerosis, Alzheimer's and Parkinson's Diseases with machine learning and miRNA.

The diagnosis of neurological diseases can be expensive, invasive, and inaccurate, as it is often di...

Multi-Modal Diagnosis of Alzheimer's Disease Using Interpretable Graph Convolutional Networks.

The interconnection between brain regions in neurological disease encodes vital information for the ...

Towards the automatic detection of activities of daily living using eye-movement and accelerometer data with neural networks.

Early diagnosis of neurodegenerative diseases, such as Alzheimer's disease, improves treatment and c...

Identifying proteomic prognostic markers for Alzheimer's disease with survival machine learning: The Framingham Heart Study.

BACKGROUND: Protein abundance levels, sensitive to both physiological changes and external intervent...

Artificial intelligence-enabled safety monitoring in Alzheimer's disease clinical trials.

BACKGROUND: Investigators conducting clinical trials have an ethical, scientific, and regulatory obl...

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