Surveillance

A review of machine learning in toxicology: current practices and reporting gaps.

In recent years, machine learning and artificial intelligence approaches have been increasingly appl...

Predicting early response to ablative radiotherapy in oligometastatic disease: a scoping review of radiomics-based machine learning and deep learning models.

OBJECTIVES: Oligometastatic disease represents an intermediate stage of cancer, often treated with s...

A quantitative analysis of global AI medical studies: gaps in randomized controlled trials.

Medical artificial intelligence (AI) has advanced rapidly, yet a comprehensive quantitative overview...

Predicting survival of Hodgkin lymphoma using machine learning-an analysis based on the SEER database.

OBJECTIVES: This study aimed to develop an effective model for predicting Hodgkin lymphoma (HL) prog...

Machine and deep learning in REM sleep behavior disorder: a scoping review and analysis of reporting quality.

Rapid eye movement (REM) sleep behavior disorder (RBD) is a parasomnia, and its isolated form is of ...

Advances in mosquito-borne disease surveillance using machine learning.

Mosquito-borne diseases remain a major global health challenge, disproportionately impacting low- an...

AI-driven Predictive Models in Endourological Treatment of Urolithiasis: A Systematic Review of Nomogram Applications from EAU Endourology.

BACKGROUND: Artificial intelligence (AI) is increasingly applied in endourology to enhance surgical ...

Beyond Discriminative Performance and the AUCs: Application and Contextual Limits of AI in Cardiovascular Epidemiology.

Enhancing radiology workflows through collaborative AI-assisted chest X-ray reporting using large vision-language models: a proof-of-concept study.

OBJECTIVES: To evaluate whether collaborative assistance from an artificial intelligence-based tool ...

Machine Learning in HIV Care and Antiretroviral Therapy: Systematic Review.

BACKGROUND: Artificial intelligence (AI) is expanding across various medical fields, with machine le...

Cost-effectiveness of infection prevention and control measures for carbapenem-resistant Gram-negative bacilli: A systematic review protocol.

INTRODUCTION: Multidrug-resistant organisms, including carbapenem-resistant Gram-negative bacilli (C...

Risk prediction models for imported infectious diseases: A systematic review.

OBJECTIVES: Accurate prediction models for imported infectious diseases are essential for early warn...

AI-Powered Image-Based Assessment of Pressure Injuries Using You Only Look Once Version 8 (YOLOv8) Models.

OBJECTIVE: The primary objective of this study is to enhance the detection and staging of pressure i...

Prospective genomic and epidemiologic surveillance of Klebsiella pneumoniae in a tertiary NICU.

BACKGROUND: Klebsiella pneumoniae complex (Kp) is a relevant neonatal pathogen colonizing preterm in...

Incidence and prevalence of vascular cognitive impairment in China: a systematic review and meta-analysis.

OBJECTIVE: Given China's rapid population ageing and substantial stroke burden, understanding the ep...

Artificial Intelligence-Enabled Analysis of Radiology Reports: Epidemiology and Outcomes of Incidental Thyroid Findings.

CONTEXT: Incidental thyroid findings (ITFs) are increasingly detected on imaging performed for non-t...

Concept of premature mortality: protocol for a scoping review.

INTRODUCTION: Premature mortality (PM) is a concept applied in public health, epidemiology, medicine...

Toward Precise Risk Stratification after the Functional Cure of Chronic Hepatitis B.

Chronic hepatitis B remains a major global health challenge despite the advances in antiviral therap...

An open-access fire detection image dataset for research in computer vision and safety monitoring.

This article presents the Fire Recognition Image Dataset, a comprehensive collection of images desig...

Reporting software tools and automation in the protocols of evidence syntheses: Meta-research study.

INTRODUCTION: The growing volume of primary research and the increasing demand for timely, high-qual...

Artificial Intelligence in Colonoscopy Surveillance for Lynch Syndrome: Emerging Evidence, Lessons Learned From Average-Risk Populations, and Future Directions.

Lynch syndrome (LS) is the most common hereditary colorectal cancer (CRC) syndrome and is characteri...