Geriatrics

Deep Learning-Augmented ECG Analysis for Screening and Genotype Prediction of Congenital Long QT Syndrome.

IMPORTANCE: Congenital long QT syndrome (LQTS) is associated with syncope, ventricular arrhythmias, ...

Transplant nephropathology: Wherefrom, wherein, and whereto.

Renal pathology is a relatively recent entry in nephrology. While diseases of the kidney are old, th...

Deep learning in the radiologic diagnosis of osteoporosis: a literature review.

OBJECTIVE: Osteoporosis is a systemic bone disease characterized by low bone mass, damaged bone micr...

DSNetax: a deep learning species annotation method based on a deep-shallow parallel framework.

Microbial community analysis is an important field to study the composition and function of microbia...

[Identification of Osteoarthritis Inflamm-Aging Biomarkers by Integrating Bioinformatic Analysis and Machine Learning Strategies and the Clinical Validation].

OBJECTIVE: To identify inflamm-aging related biomarkers in osteoarthritis (OA).

Synthesizing images of tau pathology from cross-modal neuroimaging using deep learning.

Given the prevalence of dementia and the development of pathology-specific disease-modifying therapi...

Multicenter Evaluation of a Weakly Supervised Deep Learning Model for Lymph Node Diagnosis in Rectal Cancer at MRI.

Purpose To develop a Weakly supervISed model DevelOpment fraMework (WISDOM) model to construct a lym...

Effects of Language Differences on Inpatient Fall Detection Using Deep Learning.

This study examined the effects of language differences between Korean and English on the performanc...

An intentional approach to managing bias in general purpose embedding models.

Advances in machine learning for health care have brought concerns about bias from the research comm...

Artificial Intelligence in Geriatrics: Riding the Inevitable Tide of Promise, Challenges, and Considerations.

Topic evolution before fall incidents in new fallers through natural language processing of general practitioners' clinical notes.

BACKGROUND: Falls involve dynamic risk factors that change over time, but most studies on fall-risk ...

[Evaluation of brain age changes in patients with liver cirrhosis and hepatic encephalopathy with deep learning models based on structural magnetic resonance imaging].

To investigate the brain aging in patients with cirrhosis and hepatic encephalopathy(HE), construct...

Deep learning-based radiomics allows for a more accurate assessment of sarcopenia as a prognostic factor in hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is one of the most common malignancies and is a major cause of cancer...

AgeAnnoMO: a knowledgebase of multi-omics annotation for animal aging.

Aging entails gradual functional decline influenced by interconnected factors. Multiple hallmarks pr...

Ensuring Fairness in Detecting Mild Cognitive Impairment with MRI.

Machine learning (ML) algorithms play a crucial role in the early and accurate diagnosis of Alzheime...

An Interpretable Population Graph Network to Identify Rapid Progression of Alzheimer's Disease Using UK Biobank.

Alzheimer's disease (AD) manifests with varying progression rates across individuals, necessitating ...

Generative AI Demonstrated Difficulty Reasoning on Nursing Flowsheet Data.

Excessive documentation burden is linked to clinician burnout, thus motivating efforts to reduce bur...

Machine learning model for osteoporosis diagnosis based on bone turnover markers.

To assess the diagnostic utility of bone turnover markers (BTMs) and demographic variables for ident...

An Early Detection and Classification of Alzheimer's Disease Framework Based on ResNet-50.

OBJECTIVE: The objective of this study is to develop a more effective early detection system for Alz...

A Deep Learning Pipeline for Assessing Ventricular Volumes from a Cardiac MRI Registry of Patients with Single Ventricle Physiology.

Purpose To develop an end-to-end deep learning (DL) pipeline for automated ventricular segmentation ...

Exploring the Value of MRI Measurement of Hippocampal Volume for Predicting the Occurrence and Progression of Alzheimer's Disease Based on Artificial Intelligence Deep Learning Technology and Evidence-Based Medicine Meta-Analysis.

BACKGROUND: Alzheimer's disease (AD), a major dementia cause, lacks effective treatment. MRI-based h...