Surveillance

Risk factors and prediction of distant metastasis (DM) of colon adenocarcinoma: a logistic regression and machine learning study based on surveillance, epidemiology, and end results (SEER) database.

Transforming heart transplantation care with multi-omics insights.

Heart transplantation (HTx) remains the definitive treatment for patients with end-stage heart disea...

A real-world data analysis of montelukast in FDA Adverse Event Reporting System (FAERS) database.

BACKGROUND: Montelukast(MTK) is a leukotriene receptor antagonist widely used clinically for treatin...

Taking the Guess Work Out of Endoscopic Polyp Measurement: From Traditional Methods to AI.

Colonoscopy is a crucial tool for evaluating lower gastrointestinal disease, monitoring high-risk pa...

Journal of Global Health's Guidelines for Reporting Analyses of Big Data Repositories Open to the Public (GRABDROP): preventing 'paper mills', duplicate publications, misuse of statistical inference, and inappropriate use of artificial intelligence.

In recent years, global accessibility to large 'big data' repositories that enable 'open research' -...

Metabolic Phenotypes, Genotypes, and Gut Microbiome Signatures in Obesity: Implications for Precision Nutrition Strategies in Type 2 Diabetes Prevention.

The worldwide prevalence of overweight and obesity has increased rapidly in the last decades. This r...

Recent topics on thyroid cytopathology: reporting systems and ancillary studies.

As fine-needle aspiration techniques and diagnostic methodologies for thyroid nodules have continued...

HEalth Record Optimization for Identifying Candidates for HIV PRe-Exposure Prophylaxis: A Community-Informed Approach to Model Development.

Electronic health record (EHR)-based models to identify individuals who may benefit from pre-exposur...

Leveraging machine learning for monitoring afforestation in mining areas: evaluating Tata Steel's restoration efforts in Noamundi, India.

Mining activities have long been associated with significant environmental impacts, including defore...

Computer-vision research powers surveillance technology.

An increasing number of scholars, policymakers and grassroots communities argue that artificial inte...

Surveillance and Surgical Salvage Treatment for Endoscopically Removed T1 Colorectal Cancers.

Endoscopic submucosal dissection (ESD) enables en-bloc resection of large lesions more than 20 mm in...

Emergency radiology: roadmap for radiology departments.

Emergency radiology has evolved into a significant subspecialty over the past 2 decades, facing uniq...

Applying language models for suicide prevention: evaluating news article adherence to WHO reporting guidelines.

The responsible reporting of suicide in media is crucial for public health, as irresponsible coverag...

It is Time to Realize the Promise of the Digital Mental Health Transformation: Application for Population Mental Health.

The past 25 years have seen the explosion of digital health care-from 1s and 0s initially serving mo...

Advancing AMR Surveillance: Confluence of One Health and Big Data Integration : Converging One Health and Big Data for AMR.

Antibiotic resistance poses a critical global health threat, demanding robust surveillance systems t...

The Use of Artificial Intelligence in Residency Application Evaluation-A Scoping Review.

Several residency programs have begun investigating artificial intelligence (AI) methods to facilit...

Application Value of Deep Learning-Based AI Model in the Classification of Breast Nodules.

Breast nodules are highly prevalent among women, and ultrasound is a widely used screening tool. Ho...

Factor Analysis and Prediction of Disease Risk Based on Large Ensembles of Models: Application to Virus Yellows in Sugar Beet.

Identifying disease risk factors, characterizing their effects, and forecasting disease risk across ...

Prediction of Antibiotic Resistance Phenotypes and Minimum Inhibitory Concentrations in Using Machine Learning Analysis of Its Pan-Genome and Pan-Resistome Features.

Traditional experimental methods for determining antibiotic resistance phenotypes (ARPs) and minimum...

Rapid prediction of antibiotic resistance in complex using whole-genome and metagenomic sequencing.

Clinical management and surveillance of the complex (ECC) face significant challenges due to inaccu...

Large Language Models and the Analyses of Adherence to Reporting Guidelines in Systematic Reviews and Overviews of Reviews (PRISMA 2020 and PRIOR).

In the context of Evidence-Based Practice (EBP), Systematic Reviews (SRs), Meta-Analyses (MAs) and o...