Surveillance

Artificial intelligence in urology: A review of United States Food and Drug Administration-cleared devices.

OBJECTIVE: To systematically characterise United States Food and Drug Administration (FDA) authorised urology-specific artificial intelligence (AI)-enabled medical devices and to evaluate the publicly available evidence supporting their authorisation. METHODS: We reviewed the FDA AI-Enabled Medical Devices List. Devices cleared by September 2025 were manually screened for urological relevance usin...

The AI implementation gap in trauma radiography: standalone versus discretionary AI-integrated fracture detection.

OBJECTIVE: In emergency trauma care, artificial intelligence (AI) may aid fracture detection on radiographs, potentially reducing radiologists' workload. We evaluated the role of deep learning-based decision-support software in the reporting of trauma cases. MATERIALS AND METHODS: We retrospectively analyzed 2317 trauma radiographs acquired at a single center: 1,174 images obtained from November 1...

Application of Language Models for the Analysis of Adverse Drug Events in Pharmaceutical Research and Development: Scoping Review.

BACKGROUND: Adverse drug events (ADEs) remain a critical safety issue in pharmaceutical research and development (Pharma R&D), necessitating robust me...

Local infection signs at the catheter-insertion site: a large prospective multicentric cohort study.

OBJECTIVES: To describe the epidemiology of local signs at intravascular catheter insertion sites across catheter types and care settings, to compare ...

Navigating Diabetes Management in the Digital Era: Scoping Review of Online Health Information-Seeking Behavior.

BACKGROUND: Online health information seeking (OHIS) has become a central component of chronic disease management within an increasingly interactive, ...

Experts' Opinions on the Sustainable Use of Digital Health Tools for Effective Future Pandemic Preparedness and Response: Questionnaire Study.

BACKGROUND: The COVID-19 pandemic demonstrated the potential role of digital health tools in enhancing pandemic preparedness and response. These tools...

Predictive variables for early detection of sepsis in adults admitted to intensive care units: protocol for a systematic review.

INTRODUCTION: Sepsis is a life-threatening condition in intensive care units (ICUs), where any delay in diagnosis and treatment can lead to organ dysf...

Early and late mortality among patients with T1-T3 head and neck squamous cell carcinoma: a machine learning analysis using a SEER population-based cohort study.

Despite advances in the management of head and neck squamous cell carcinoma (HNSCC), mortality within 6 months of diagnosis remains a substantial clin...

Large language models integrated into brain-computer interfaces for communication and control: a systematic review.

Large language models (LLMs) are starting to be coupled with brain-computer interfaces (BCIs) for assistive communication, but the resulting systems d...

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 environmental toxicants increasingly recognized as nont...

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 and digital documentation systems is experienced b...

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 intelligence to heart failure care, including phenotyping, ri...

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

BACKGROUND: The 2016 Comprehensive Addiction and Recovery Act amended the Child Abuse Prevention and Treatment Act (CAPTA), expanding requirements for...

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 public health, but their clandestine nature makes them...

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

INTRODUCTION: Loneliness and social isolation are critical public health issues linked to significant adverse health outcomes and increased healthcare...

Artificial intelligence in clinical metagenomic pathogen detection: A critical review of pipeline integrations, challenges, and future directions.

Metagenomic next-generation sequencing (mNGS) has expanded the scope of clinical diagnostics by enabling culture-independent detection of microorganis...

Can Artificial Intelligence Substitute Dental Public Health Expertise? A Competency-Based Analysis Across Core DPH Domains.

BACKGROUND: Artificial intelligence (AI) is increasingly integrated into public health and dentistry, with a range of applications. While these develo...

Analytic Misjudgment of Drug Safety Evidence and Causality: From the Prosecutor's Fallacy and Simpson's Paradox to Artificial Intelligence.

Drug safety assessment, particularly in the post-marketing setting, is especially vulnerable to analytic misjudgment because it relies on heterogeneou...

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 for the planning of vector control programs, especia...