Geriatrics

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

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Subcategories: Alzheimer's Disease Medicare
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Dual-channel knowledge attention for traditional Chinese medicine syndrome differentiation.

With the rapid advancement of Natural Language Processing (NLP) technologies, the application of NLP...

Daily Automated Prediction of Delirium Risk in Hospitalized Patients: Model Development and Validation.

BACKGROUND: Delirium is common in hospitalized patients and is correlated with increased morbidity a...

Transcriptomic analyses of human brains with Alzheimer's disease identified dysregulated epilepsy-causing genes.

BACKGROUND & OBJECTIVE: Alzheimer's Disease (AD) patients at multiple stages of disease progression ...

Using machine learning and electronic health record (EHR) data for the early prediction of Alzheimer's Disease and Related Dementias.

BACKGROUND: Over 6 million patients in the United States are affected by Alzheimer's Disease and Rel...

Predicting Intraoperative Burst Suppression Using Preoperative EEG and Patient Characteristics.

Burst suppression (BS) is an electroencephalogram (EEG) pattern observed in patients undergoing gene...

Comparative analysis of ChatGPT-4o mini, ChatGPT-4o and Gemini Advanced in the treatment of postmenopausal osteoporosis.

BACKGROUND: Osteoporosis is a sex-specific disease. Postmenopausal osteoporosis (PMOP) has been the ...

A Multi-Omics-Based Prognostic Model for Elderly Breast Cancer by Machine Learning: Insights From Hypoxia and Immunity of Tumor Microenvironment.

INTRODUCTION: Older adult breast cancer (OABC) patients (≥ 65 years) frequently experience poorer pr...

A prediction model of pediatric bone density from plain spine radiographs using deep learning.

Osteoporosis, a bone disease characterized by decreased bone mineral density (BMD) resulting in decr...

Identification of aging-related biomarkers for intervertebral disc degeneration in whole blood samples based on bioinformatics and machine learning.

INTRODUCTION: Aging is characterized by gradual structural and functional changes in the body over t...

Tracking control of robotic manipulator end-effector trajectory based on robust sliding mode method.

This paper addresses the precise trajectory tracking of robotic manipulators (RMs) in automation tas...

Prospective multicenter external validation of the rib fracture frailty index.

BACKGROUND: The Rib Fracture Frailty (RFF) Index is an internally validated machine learning-based r...

Comparative study of XGBoost and logistic regression for predicting sarcopenia in postsurgical gastric cancer patients.

The use of machine learning (ML) techniques, particularly XGBoost and logistic regression, to predic...

c-Triadem: A constrained, explainable deep learning model to identify novel biomarkers in Alzheimer's disease.

Alzheimer's disease (AD) is a neurodegenerative disorder that requires early diagnosis for effective...

Deep learning enabled liquid-based cytology model for cervical precancer and cancer detection.

Deep learning (DL) enabled liquid-based cytology has potential for cervical cancer screening or tria...

Hybrid of DSR-GAN and CNN for Alzheimer disease detection based on MRI images.

In this paper, we propose a deep super-resolution generative adversarial network (DSR-GAN) combined ...

Neuroimaging-derived biological brain age and its associations with glial reactivity and synaptic dysfunction cerebrospinal fluid biomarkers.

Magnetic resonance Imaging (MRI)-derived brain-age prediction is a promising biomarker of biological...

The future of Alzheimer's disease risk prediction: a systematic review.

BACKGROUND: Alzheimer's disease is the most prevalent kind of age-associated dementia among older ad...

Automated phenotyping of mild cognitive impairment and Alzheimer's disease and related dementias using electronic health records.

OBJECTIVES: Unstructured and structured data in electronic health records (EHR) are a rich source of...

IT: An interpretable transformer model for Alzheimer's disease prediction based on PET/MR images.

Alzheimer's disease (AD) represents a significant challenge due to its progressive neurodegenerative...

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