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Preventive Care

Latest AI and machine learning research in preventive care for healthcare professionals.

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Global burden of subarachnoid hemorrhage in young adults, 1990-2021: disparities, risk factors, and projections to 2050.

BACKGROUND: Subarachnoid hemorrhage (SAH) disproportionately affects young adults aged 15-49 years, yet prior global studies have rarely focused on this population and may obscure age-specific patterns by combining all-age data. We therefore quantified the global burden of SAH in young adults and explored disparities by sex and socio-demographic index (SDI) level. METHODS: Using Global Burden of D...

Sep 5 2026 42700278

Application of Emerging Technologies in the Antiviral Field.

Viral diseases pose a serious threat to global public health, agriculture, and biosecurity. Conventional antiviral strategies are often limited by an incomplete understanding of disease mechanisms, poor targeting precision, and slow response times. Emerging technologies are now reshaping the landscape of antiviral research. This review examines the roles of four key frontiers, including organoid m...

Sep 5 2026 42700916
Susceptibility and screening approaches in systemic amyloidosis: expert perspectives from the International Society of Amyloidosis (ISA).

BACKGROUND: Systemic amyloidosis is a progressive disease in which misfolded protein toxicity and deposition lead to organ dysfunction. Early diagnosi...

Sep 4 2026 42695486
From Clinic to Home: Validating the Social Communication Scale for Telemedicine-Supported Early Autism Screening in Chinese Toddlers.

Telemedicine is reshaping how early autism detection can be delivered, particularly in resource-limited settings. Yet, most existing tele-assessment t...

Sep 4 2026 42695515
Altered dynamic functional connectivity of the language network associated with electronegative L5 in patients with mild cognitive impairment.

Language impairment is increasingly recognized as an early marker of neurodegeneration in mild cognitive impairment (MCI). L5, an electronegative subf...

Sep 4 2026 42696254
Diabetic retinopathy screening using artificial intelligence: a comprehensive performance comparison on datasets from diverse populations and imaging modalities.

Objective Diabetic retinopathy (DR) is the leading cause of preventable blindness in adults and poses significant challenges in low- and middle-in...

Sep 4 2026 42697237
Applying an AI Decision Support Device During Cervical Cancer Screening in Bangladesh and Uganda: Implementation Study.

BACKGROUND: Screening is important for early detection of cervical cancer in low- and middle-income countries. Visual inspection with acetic acid (VIA...

Sep 3 2026 42691425
Temporal validation of machine-learning models for shingles vaccine nonvaccination among U.S. adults aged 50 years and older.

BACKGROUND: Herpes zoster vaccination is recommended for U.S. adults aged 50 years and older, yet many remain unvaccinated. Prior National Health Inte...

Sep 3 2026 42691823
Prediction of retinopathy of prematurity using machine learning models.

BACKGROUND: Early identification of neonates at risk of retinopathy of prematurity (ROP) is essential to prevent vision loss. The goal of this study w...

Sep 3 2026 42693225
Artificial intelligence and ultra-high performance computing methods and experiments for drug discovery: virtual screening, deep learning, molecular dynamics simulations, ADMET modelling, and experimental validation.

Recent years have witnessed considerable progress in computer-aided drug discovery, driven by the incorporation of computational technologies within b...

Sep 3 2026 42686980
A novel approach to dyslexia detection: combining EEG data and cognitive tasks with advanced machine learning.

Existing dyslexia detection methods typically rely on either EEG or screening tests. This study introduces a multimodal two-stage methodology for dysl...

Sep 2 2026 42684128
Cost-Effectiveness of AI-Enabled Electrocardiography for Screening MASLD-Associated Advanced Chronic Liver Disease in the US Population.

BACKGROUND: MASLD is the most prevalent chronic liver disease worldwide, with pooled global prevalence estimates of approximately 30%. Current noninva...

Sep 1 2026 42678498
Feasibility of a Stool State Check App Using AI During Bowel Preparation Before Colonoscopy: Multicenter Prospective Study (SCAN Study).

BACKGROUND: Optimal bowel preparation (BP) is crucial for a successful colonoscopy. Although multiple factors influence BP quality, including patient ...

Sep 1 2026 42679048
Cross-protective human antibodies against the Mpox virus discovered through structure-guided screening.

Mpox virus (MPXV) poses an increasing global health threat, as underscored by two World Health Organization declarations of Public Health Emergencies ...

Sep 1 2026 42680755
Smartphone-Based Multimodal Digital Biomarker Integration for Parkinson's Disease Screening and Diagnostic Support.

INTRODUCTION: Timely identification of Parkinson's disease (PD) is often delayed because of clinical heterogeneity and limited awareness of early symp...

Sep 1 2026 42681539
An Alternative Approach for Detecting Problematic Alcohol Use: Developing the Student Alcohol Risk Assessment Scale-15 Using AI-Assisted Machine Learning.

BACKGROUND/AIM: Risky alcohol use is common among university students and negatively impacts physical and psychosocial health. Current screening instr...

Sep 1 2026 42473812
Assessment of atypical glandular cell interpretation in Pap tests using the Hologic Genius Digital Diagnostics System.

Atypical glandular cells (AGC) are a diagnostic challenge. The aim of this study was to evaluate the efficacy and diagnostic performance of AGC detect...

Sep 1 2026 42622122
EfficientNet-B0-Based Screening of WBC-Diff Scattergram Images for Hematological Abnormalities.

White blood cell differential (WBC-Diff) scattergrams are used to screen for hematological abnormalities in potential hematopoietic malignancies and a...

Sep 1 2026 42675854
Integrating socioeconomic context with multimodal EEG data for improved ADHD risk screening.

Attention-deficit/hyperactivity disorder (ADHD) affects millions globally, yet current diagnostic approaches rely on subjective behavioral assessments...

Sep 1 2026 42678972
Machine Learning-Driven Risk Clusters for Adverse Outcomes in Patients Hospitalized with Acute Heart Failure: Using a Retrospective Cohort Data.

AIM: Heart failure (HF) poses a growing public health burden, yet conventional risk stratification models fail to capture the multidimensional complex...

Aug 31 2026 42673526
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