Geriatrics

Prediction of mild cognitive impairment using blood multi-omics data.

Mild cognitive impairment (MCI) represents an initial phase of memory or other cognitive function de...

Comprehensive Analysis of the Role of Metabolic Features in Osteoporosis: A Multi-Omics Analysis.

PURPOSE: This study aims to comprehensively explore the metabolic features related to the pathogenes...

Predicting Mortality in Atrial Fibrillation Patients Treated with Direct Oral Anticoagulants: A Machine Learning Study Based on the MIMIC-IV Database.

Atrial fibrillation (AF) is a common arrhythmia linked to increased mortality and significant healt...

Translational computerized clinical decision support systems for Alzheimer's disease: A systematic review.

BackgroundAlzheimer's disease (AD), marked by progressive memory loss and cognitive decline, poses d...

Speech-based digital cognitive assessments for detection of mild cognitive impairment: Validation against paper-based neurocognitive assessment scores.

BackgroundCognitive decline in Alzheimer's disease (AD) often includes speech impairments, where sub...

Bridging Genomic Research Disparities in Osteoporosis GWAS: Insights for Diverse Populations.

PURPOSE OF REVIEW: Genome-wide association studies (GWAS) have significantly advanced osteoporosis r...

Epidemiology and survival of patients with primary lymphoma of bone: a large retrospective cohort study.

Primary lymphoma of bone (PLB) is a rare extranodal lymphoma, and its epidemiology and prognosis rem...

Cyberdelics: Virtual reality hallucinations modulate cognitive-affective processes.

INTRODUCTION: Psychedelics were explored for their potential in the mental health field. However, re...

Performance of Machine Learning Models in Predicting 30-Day General Medicine Readmissions Compared to Traditional Approaches in Australian Hospital Setting.

: Hospital readmissions are a key quality metric impacting both patient outcomes and healthcare cost...

Advancements in Machine Learning for Precision Diagnostics and Surgical Interventions in Interconnected Musculoskeletal and Visual Systems.

Artificial intelligence (AI) is reshaping precision medicine by revealing diagnostic links between o...

Long COVID's Hidden Complexity: Machine Learning Reveals Why Personalized Care Remains Essential.

Long COVID can develop in individuals who have had COVID-19, regardless of the severity of their in...

A Convolutional Mixer-Based Deep Learning Network for Alzheimer's Disease Classification from Structural Magnetic Resonance Imaging.

Alzheimer's disease (AD) is a neurodegenerative disorder that severely impairs cognitive function a...

Process management method in head and neck cancer patient care.

Management of patients with head and neck cancer (HNC) is a complex process that involves extensive ...

End-to-end prognostication in pancreatic cancer by multimodal deep learning: a retrospective, multicenter study.

OBJECTIVES: Pancreatic cancer treatment plans involving surgery and/or chemotherapy are highly depen...

Development and validation of a hypoxemia prediction model in middle-aged and elderly outpatients undergoing painless gastroscopy.

Hypoxemia is a common complication associated with anesthesia in painless gastroscopy. With the agin...

Cell-TRACTR: A transformer-based model for end-to-end segmentation and tracking of cells.

Deep learning-based methods for identifying and tracking cells within microscopy images have revolut...

Editorial: Application of machine learning in the diagnosis of dementia, volume II.

Development and validation of a machine-learning model for the risk of potentially inappropriate medications in elderly stroke patients.

OBJECTIVE: To construct a risk prediction model for potentially inappropriate medications (PIM) in e...

Aging at the Crossroads of Organ Interactions: Implications for the Heart.

Aging processes underlie common chronic cardiometabolic diseases such as heart failure and diabetes....

Potential Function-Based Molecular Dynamics Simulation of Al-Cu-Li Alloys and Comparison with Experiments.

Due to their excellent specific strength and lightweight characteristics, Al-Cu-Li alloys are widely...

The knowledge distillation-assisted multimodal model for osteoporosis screening.

BACKGROUND AND OBJECTIVE: Osteoporosis is characterized by reduced bone mass and deterioration of bo...