Preventive Care

Cancer Vaccine Development: Toward Artificial Intelligence-Assisted Personalized Cell Membrane Nanovaccine.

Cancer vaccines are an attractive immunotherapeutic approach, and numerous clinical trials are ongoi...

Development and internal validation of an interpretable machine learning model using routine laboratory data for systemic sclerosis-associated pulmonary arterial hypertension.

This study aimed to develop and validate an interpretable machine learning (ML) model using routine ...

Artificial intelligence-assisted detection and optical differentiation of colorectal lesions in Lynch syndrome surveillance (CADLY2): a multicentre, open-label, randomised controlled superiority trial.

BACKGROUND: Artificial intelligence (AI)-based computer-aided detection (CADe) systems improve adeno...

Human-artificial intelligence adaptation in colonoscopy: beyond deskilling and upskilling.

BASG-Net: a background-aware spatial gating network for cervical cell segmentation in pap smear images.

The precise segmentation of cervical cell images is regarded as a fundamental prerequisite for the i...

An efficient framework for real-time colorectal polyp detection using local outlier factor-based preprocessing and YOLOv11n.

Timely and accurate detection of colorectal polyps plays an important role in the prevention and ear...

Application of AI in Hypertension Health Education: Scoping Review.

BACKGROUND: Hypertension is a major global health challenge, and effective health education is cruci...

Passive Screening for Depressive Symptoms Using Daily Wrist Actigraphy and Deep Learning: Model Development and Validation Study.

BACKGROUND: Depressive symptoms are common yet often underrecognized in routine care, underscoring t...

Explainable machine learning for 10-year prediction of cognitive impairment in a rural Chinese population.

Cognitive impairment (CI) is an emerging public health challenge in rural aging populations, where a...

A Comparative Study of the Psychometrics and Feasibility of Artificial Intelligence Algorithms Versus the Standard Screening Methods for Oropharyngeal Dysphagia in Older Adults: A Scoping Review.

Oropharyngeal dysphagia (OD) is highly prevalent (35.6%-47.4%) in hospitalized older patients but cl...

Circulating T-cell phenotypes are influenced by prior Staphylococcus aureus exposure in hemodialysis patients.

Staphylococcus aureus bloodstream infections are a significant risk for hemodialysis patients, who w...

ViT-MultiRAGNet: A scalable and reliable retrieval-augmented Vision Transformer framework for memory-guided feature fusion multi-modal mammogram classification.

BACKGROUND: Diagnosing breast cancer with mammography continues to be an incidentally challenging pr...

Randomized, Double-Blind, Placebo-Controlled First-in-Human Trial of a First-in-Class AI-Designed Monoclonal Antibody (GB-0669) Against the Conserved SARS-CoV-2 Spike S2 Stem Helix.

BACKGROUND: Antibodies against the SARS-CoV-2 spike receptor-binding domain provided effective COVID...

A review of machine learning applications in soil heavy-metal remediation: material design, process optimization, and future challenges.

Soil heavy-metal contamination is characterized by toxicity, environmental persistence, and bioaccum...

Global Trends and Insights in Cervical Cancer Research: A Bibliometric Analysis from 2000 to 2024.

Cervical cancer is the fourth most common malignant disease in women worldwide. Although the promoti...

Use of an AI Image Recognition-Based Smartphone App in Personalized Bowel Preparation Before Colonoscopy: Prospective Randomized Controlled Trial.

BACKGROUND: Sufficient bowel preparation is critical for increasing the quality of colonoscopy. Howe...

The Use of Generative Artificial Intelligence in Systematic Literature Reviews: A Rapid Review of the Literature.

OBJECTIVES: Systematic literature reviews (SLRs) underpin life sciences research but are resource in...

Raman spectroscopic detection of salivary thiocyanate for smoking exposure stratification.

Distinguishing smokers from non-smokers and stratifying smokers based on their smoking history/expos...

Machine learning modeling to predict HCC locations in cirrhotic patients undergoing MRI - a proof-of-concept study.

PURPOSE: Current hepatocellular carcinoma (HCC) surveillance guidelines rely on manually defined LI-...

Geospatial approaches for mapping zero-dose prevalence and routine childhood immunisation coverage in low- and lower-middle-income countries: A scoping review.

BACKGROUND: Zero-dose (ZD) children remain a critical public health concern, particularly in low- an...

Artificial intelligence with mucosal exposure devices versus artificial intelligence alone in detection of colorectal adenomas: a systematic review and meta-analysis.

BACKGROUND AND AIMS: Both artificial intelligence (AI) and mucosal exposure devices (MEDs) have been...