Surveillance

Comparative diagnostic accuracy of image-enhanced endoscopy modalities and artificial intelligence-assisted endoscopy for gastric intestinal metaplasia and gastric dysplasia: protocol for a systematic review and diagnostic test network meta-analysis.

INTRODUCTION: Gastric intestinal metaplasia (GIM) and gastric dysplasia are critical precursors in the Correa cascade of gastric carcinogenesis. Although multiple image-enhanced endoscopy (IEE) modalities and artificial intelligence (AI)-assisted systems have been developed to improve their detection, the comparative diagnostic accuracy of these technologies remains unclear. Direct comparative stu...

Artificial intelligence-enhanced nurse navigation for monitoring and care of long COVID.

INTRODUCTION: Long COVID is a multisystem condition with challenging diagnosis. Nurse-navigation, a patient-centered intervention, can enhance education and care access. Analyzing patient-nurse text message exchanges using natural language processing (NLP) enables automated extraction of clinical information, potentially supporting early identification of long COVID. We aimed to evaluate a digital...

What's the Meta Now? More Updates on the Problems with Systematic Reviews.

BACKGROUND: Systematic reviews are intended to provide trustworthy evidence synthesis, yet previous iterations of this living review have identified n...

Spatiotemporal genomic analysis and risk assessment of the plasmids carrying blaOXA-48-like genes based on a large-scale international dataset.

BACKGROUND: The spread of OXA-48-like carbapenemases represents a major public health challenge. Although previous studies have investigated OXA-48-li...

Biomarker-based machine learning for malignant transformation in oral potentially malignant disorders: a scoping review.

Oral squamous cell carcinoma (OSCC) is often preceded by oral potentially malignant disorders (OPMDs). Despite this known association, the transition ...

Using LLM-generated tools to extract information about reporting statistical software in biomedical and health science research articles.

OBJECTIVE: A major problem with reviewing the statistical methodology in published medical articles is that extracting the necessary details from larg...

Cross-scale biomimicry of resilin and resilin-like proteins: From phase separation and dityrosine photocrosslinking to tissue repair and soft robotic devices.

Resilin and resilin-like proteins (RLPs) provide a programmable platform for bioinspired soft materials that spans molecular design, condensate micros...

Applications, Challenges, and Future Directions of Large Language Models in Health Care Communication: Scoping Review.

BACKGROUND: Effective health care communication is crucial in the medical field. However, effective communication in clinical practice still faces num...

The Cancer Metallome Continuum: A Framework for Understanding Metal Dysregulation from Carcinogenesis to Therapeutic Resistance.

Metals and metalloids play essential roles in cancer biology, influencing redox balance, epigenetic regulation, immune responses, and cell death throu...

Automated Identification of Surgical Site Infections From Electronic Medical Records: Retrospective Observational Predictive Modeling Study.

BACKGROUND: Surgical site infections (SSIs) affect 160,000 to 300,000 patients annually, increasing postoperative mortality, causing significant compl...

Neural networks and behavioral frameworks to analyse the impact of media and individual awareness for controlling epidemics.

Enhancing individual awareness and immunization are generally recognized as fundamental strategies for controlling infectious diseases. Awareness is i...

Clinical Risk Management and Patient-safety Research: A Large-scale Bibliometric Mapping of the Field and Its Emerging Directions (Master vs. 2021-2025).

BACKGROUND: To map the evolution, knowledge structure, and emerging directions of clinical risk management (CRM) and patient-safety research by contra...

Artificial intelligence-based prediction of diseases among homeless populations in Bogotá: Implications for targeted interventions.

BACKGROUND: The homeless population in Bogotá exhibits complex social and health vulnerabilities, with a high prevalence of chronic and communicable d...

Review Article: Advances in the Diagnosis of Dysplasia in Barrett's Oesophagus.

BACKGROUND: Barrett's oesophagus (BE), the precursor to oesophageal adenocarcinoma, progresses through a stepwise dysplastic sequence. Accurate dyspla...

The evolving landscape of acute kidney injury: research directions and changes in clinical practice.

Acute kidney injury (AKI) is a common and serious disease, needing a comprehensive and management-based approach. While traditional practice focused o...

Adherence of CLAIM in Artificial Intelligence Research: A Cross-Sectional Study.

OBJECTIVE: To analyze the adherence of Checklist for Artificial Intelligence (AI) in Medical Imaging (CLAIM) in top medical imaging journals. METHODS:...

Deep Learning Models for Detection of Periapical Radiolucent Lesions on Panoramic Radiographs: A Systematic Review and Meta-Analysis.

BACKGROUND: Panoramic radiographs are used routinely to screen dental conditions and treatment patterns. Recently, numerous studies have suggested tha...

CT in adult patients with Polytrauma: current practices, protocol optimization, structured reporting and future directions.

Computed tomography [CT] is the frontline imaging modality for the assessment of polytrauma patients because of its speed, diagnostic accuracy and inf...

Translational applications of artificial intelligence and machine learning for mosquito-borne disease control in low- and middle-income countries.

OBJECTIVES: To synthesize evidence on the application of artificial intelligence (AI) and machine learning (ML) for mosquito-borne disease (MBD) contr...

Value operating system: a practical framework to measure outcomes-per-cost at the episode level.

OBJECTIVE: To specify a value operating system (VOS) and its executable metric-the Value Index (VI)-that expresses risk-adjusted outcomes-per-episode-...