Surveillance

Hip surveillance in children with cerebral palsy in the UK : history, challenges, and future directions.

Cerebral palsy (CP) is associated with musculoskeletal complications in children, notably hip migrat...

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' -...

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...

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...

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...

Improving radiology reporting accuracy: use of GPT-4 to reduce errors in reports.

PURPOSE: Radiology reports are essential for communicating imaging findings to guide diagnosis and t...

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...

Diagnosis, clinical management, and emerging strategies for coronary artery disease in patients with cancer.

The intersection of cancer and coronary artery disease (CAD) presents complex clinical challenges re...

Computer-vision research powers surveillance technology.

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

Is AI powering Big Brother? Surveillance research is on the rise.

Interventional Radiology Reporting Standards and Checklist for Artificial Intelligence Research Evaluation (iCARE).

As artificial intelligence (AI) becomes increasingly prevalent within interventional radiology (IR) ...

Biomarker risk stratification with capsule sponge in the surveillance of Barrett's oesophagus: prospective evaluation of UK real-world implementation.

BACKGROUND: Endoscopic surveillance is the clinical standard for Barrett's oesophagus, but its effec...

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...

Emergency radiology: roadmap for radiology departments.

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

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...

Changes in Epidemiological Characteristics of Varicella and Breakthrough Cases in Ningbo, China, From 2010 to 2023: Surveillance Study.

BACKGROUND: Varicella is a prevalent respiratory infectious disease. Continuous monitoring is essent...

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...

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...