Geriatrics

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

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Subcategories: Alzheimer's Disease Medicare
Showing 106-126 of 7,162 articles
End looms for protein contest?

NIH has not committed to continuing support for contest that inspired AI tools for predicting how pr...

DeepBindi: An End-to-End Fear Detection System Optimized for Extreme-Edge Deployment.

The growing interest in affective computing has resulted in substantial advancements in emotion reco...

An investigation of multimodal EMG-EEG fusion strategies for upper-limb gesture classification.

. Upper-limb gesture identification is an important problem in the advancement of robotic prostheses...

Nuclei segmentation and classification from histopathology images using federated learning for end-edge platform.

Accurate nuclei segmentation and classification in histology images are critical for cancer detectio...

Overcoming Information Sparsity in Metasurfaces for Full-Color Holography via End-to-End Design.

We propose an end-to-end (E2E) system for RGB meta-hologram generation that efficiently determines t...

Enhancing automated detection and classification of dementia in individuals with cognitive impairment using artificial intelligence techniques.

Dementia is a degenerative and chronic disorder, increasingly prevalent among older adults, posing s...

Machine learning models for predicting multimorbidity trajectories in middle-aged and elderly adults.

Multimorbidity has emerged as a significant public health issue in the context of global population ...

MMDental - A multimodal dataset of tooth CBCT images with expert medical records.

In the rapidly evolving field of dental intelligent healthcare, where Artificial Intelligence (AI) p...

Deep ensemble learning with transformer models for enhanced Alzheimer's disease detection.

The progression of Alzheimer's disease is relentless, leading to a worsening of mental faculties ove...

AADNet: An End-to-End Deep Learning Model for Auditory Attention Decoding.

Auditory attention decoding (AAD) is the process of identifying the attended speech in a multi-talke...

Brain region localization: a rapid Parkinson's disease detection method based on EEG signals.

Parkinson's disease (PD) is a prevalent neurodegenerative disorder worldwide, often progressing to m...

Machine learning-based online web calculator predicts the risk of sarcopenic obesity in older adults.

BACKGROUND: Sarcopenic obesity (SO) has a higher risk of adverse health events compared to having ob...

Development of Artificial Intelligence-Assisted Lumbar and Femoral BMD Estimation System Using Anteroposterior Lumbar X-Ray Images.

The early detection and treatment of osteoporosis and prevention of fragility fractures are urgent s...

Limited-angle SPECT image reconstruction using deep image prior.

. In single-photon emission computed tomography (SPECT) image reconstruction, limited-angle conditio...

Unveiling aging heterogeneities in human dermal fibroblasts via nanosensor chemical cytometry.

Aging heterogeneity in tissue-regenerative cells leads to variable therapeutic outcomes, complicatin...

Validation of The Umbrella Collaboration for Tertiary Evidence Synthesis in Geriatrics: Mixed Methods Study.

BACKGROUND: The synthesis of evidence in health care is essential for informed decision-making and p...

Development and Validation of a Nomogram for Predicting Oral Frailty Risk in Elderly Patients With Ischaemic Stroke.

AIM: To develop and validate a risk prediction model for oral frailty in elderly patients with ischa...

Mechanobiology-guided machine learning models for predicting long bone fracture healing across diverse scenarios.

BACKGROUND: Fracture healing is a complex, time-dependent process governed by biological and mechani...

Gender difference in cross-sectional area and fat infiltration of thigh muscles in the elderly population on MRI: an AI-based analysis.

BACKGROUND: Aging alters musculoskeletal structure and function, affecting muscle mass, composition,...

Enhanced particle swarm optimization for feature selection in SVM-based Alzheimer's disease diagnosis.

Alzheimer's Disease (AD) is a progressive neurodegenerative disorder marked by neuronal loss, leadin...

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