Surveillance

Interpretable Machine Learning in Heavy Metal-Associated Cardiovascular and Metabolic Disease: A Review of Current Methodologies, Toxicological Insights, and Clinical Implications.

Heavy metals, including lead (Pb), cadmium (Cd), arsenic (As), and mercury (Hg), are pervasive envir...

The STARD-AI Reporting Guideline for Diagnostic Accuracy Studies Using Artificial Intelligence.

When Care Becomes Digital: Shared Experiences in Psychiatric Nursing-A Phenomenological Study.

AIM: This qualitative study explores how digitalisation primarily through electronic health records ...

Smart Technology, Fragile Hearts: Navigating AI's Challenges and Limitations in Heart Failure Management.

PURPOSE OF REVIEW: This review synthesizes recent progress in applications of artificial intelligenc...

A taxonomy of states' approaches to plans of safe care.

BACKGROUND: The 2016 Comprehensive Addiction and Recovery Act amended the Child Abuse Prevention and...

Legal Infoveillance of Unlicensed Medical Practices in South Korea Through Criminal Court Decisions Using Machine Learning: Retrospective Observational Study.

BACKGROUND: Unlicensed medical practices (UMPs) pose a substantial threat to patient safety and publ...

Loneliness and social isolation at the emergency department: a scoping review protocol.

INTRODUCTION: Loneliness and social isolation are critical public health issues linked to significan...

Application of a Quantitative Vascular Severity Score in Retinopathy of Prematurity in the United States and India: New Insights Into Disease Epidemiology and Pathophysiology.

PURPOSE: To compare the epidemiology and phenotypic characteristics of 2 populations of patients wit...

Entomological Surveillance and Arbovirus Screening in Mosquitoes from Central Morocco: First Detection of West Nile Virus in Culex pipiens from the Marrakech-Safi Region.

PURPOSE: Surveillance of arboviral vectors and screening for probable infection is very important fo...

Telehealth Scale and Artificial Intelligence Adoption Tiers Across Clinical and Operational Domains in US Hospitals: Cross-Sectional Study.

BACKGROUND: Telehealth expansion and artificial intelligence (AI) adoption are often described as pa...

Molecular Landscape and Advanced Diagnostic Technologies for BRAF Mutations in Cancer: From Quantitative PCR and ddPCR to CRISPR-Based Platforms.

BRAF mutations are key oncogenic alterations across multiple malignancies, including melanoma, thyro...

The current state of demographic subgroup reporting for commercially available AI for radiology: a scoping review.

OBJECTIVE: Though subgroup performance reporting helps ensure the safety of artificial intelligence ...

Integrating Artificial Intelligence and Technology in Surgical Practice.

This article examines the integration of artificial intelligence (AI) into the surgical workflow, tr...

Modelling the impact of dietary diversity on child nutrition in Pakistan: a machine learning analysis with Shapley Additive exPlanations and Boruta interpretability.

BACKGROUND: Pakistan faces a serious challenge in malnutrition, as its core nutrition indicators and...

Functional Imaging in Hereditary Endocrine Neoplasms: Evolving Modalities and Clinical Implications.

Hereditary endocrine neoplastic syndromes require structured, lifelong surveillance owing to their m...

Infections in Burn Patients: Pathophysiology, Prevention, and Contemporary Therapeutic Strategies in the Era of Antimicrobial Resistance.

Burn injuries are associated with significant morbidity and mortality, largely driven by infectious ...

A multi-state methodological framework for behavioral surveillance of cannabis-impaired driving.

OBJECTIVES: Driving under the influence of cannabis is a growing public health concern in the United...

Operationalizing One Health Surveillance for Tropical Fungal Diseases: Practical Implications of Bioinformatics for Clinical and Epidemiological Practice.

Fungal infections are an increasing global public health concern yet remain underprioritized because...

What is truly evidence-based in pterygium? An umbrella review of systematic reviews and meta-analyses.

PURPOSE: To synthesize and critically appraise evidence from systematic reviews and meta-analyses on...

A systematic review of explainable artificial intelligence and cardiac electrophysiological models addressing sports-related sudden cardiac death and arrest in adolescents and young adults.

Sudden Cardiac Death (SCD) is a fatal event occurring within one hour of a witnessed or 24 hours of ...

Prevention is all you need: generative artificial intelligence for infection prevention and healthcare epidemiology.

PURPOSE OF REVIEW: Generative artificial intelligence, particularly large language models, has emerg...