Surveillance

Epidemiological Dynamics of a Visually Apparent Disease: Camera Trapping and Machine-Learning Applied to Rumpwear in the Common Brushtail Possum.

Visually apparent diseases are valuable for investigating and monitoring the occurrence and prevalen...

Future Perspectives of Liver Research in the Asia-Pacific Region: Focus on Hepatitis B and C.

The Asia-Pacific region faces serious liver health challenges, primarily because of the comparativel...

Pharmacovigilance in the digital age: gaining insight from social media data.

Pharmacovigilance is essential for protecting patient health by monitoring and managing medication-r...

Epidemiology and survival of patients with primary lymphoma of bone: a large retrospective cohort study.

Primary lymphoma of bone (PLB) is a rare extranodal lymphoma, and its epidemiology and prognosis rem...

Mechanisms underlying obesity-malignancy connection: a systematic narrative review.

The association between obesity and cancer risk carries substantial public health ramifications as o...

An intelligent framework for crop health surveillance and disease management.

The agricultural sector faces critical challenges, including significant crop losses due to undetect...

Cardiovascular, Kidney, Liver, and Metabolic Interactions in Heart Failure: Breaking Down Silos.

Over the past few decades, the rising burden of metabolic disease, including type 2 diabetes, predia...

Remote sensing-based detection of brown spot needle blight: a comprehensive review, and future directions.

Pine forests are increasingly threatened by needle diseases, including Brown Spot Needle Blight (BSN...

Influence of the CONCERN Early Warning System on Unanticipated ICU Transfers, In-Hospital Mortality, and Length of Stay: Results from a Multi-site Pragmatic Randomized Controlled Clinical Trial.

Communicating Narrative Concerns Entered by RNs Early Warning System (CONCERN EWS) is a machine-lear...

Advances in Wastewater-Based Epidemiology for Pandemic Surveillance: Methodological Frameworks and Future Perspectives.

Wastewater-based epidemiology (WBE) has emerged as a transformative approach for community-level hea...

Digital Biomarkers and AI for Remote Monitoring of Fatigue Progression in Neurological Disorders: Bridging Mechanisms to Clinical Applications.

Digital biomarkers for fatigue monitoring in neurological disorders represent an innovative approach...

The Core Outcome Measures Index (COMI) comes of age: 18 years of efficient and effective patient-reported outcome measurement in the field of spinal disorders. Part 1. Development of the COMI, interpretation of scores, and use in research.

In 1998, an international and multidisciplinary group of experts (from the fields of spine surgery, ...

The Core Outcome Measures Index (COMI) comes of age: 18 years of efficient and effective patient-reported outcome measurement in the field of spinal disorders. Part 2. COMI item-content, scoring, language versions, and applications.

In 1998, an international and multidisciplinary group of experts (from the fields of spine surgery, ...

Neuroimaging Characterization of Acute Traumatic Brain Injury with Focus on Frontline Clinicians: Recommendations from the 2024 National Institute of Neurological Disorders and Stroke Traumatic Brain Injury Classification and Nomenclature Initiative Imaging Working Group.

Neuroimaging screening and surveillance is one of the first frontline diagnostic tools leveraged in ...

Retrieval-augmented generation for answering Breast Imaging Reporting and Data System (BI-RADS)-related questions with large language models.

The Impact of Biometric Surveillance on Reducing Violent Crime: Strategies for Apprehending Criminals While Protecting the Innocent.

In the rapidly evolving landscape of biometric technologies, integrating artificial intelligence (AI...

Nystagmus in Clinical Practice: From Diagnosis to Treatment-A Comprehensive Review.

Nystagmus, a common yet intricate ocular movement disorder, significantly contributes to visual morb...

AI-Enabled Diagnostic Prediction within Electronic Health Records to Enhance Biosurveillance and Early Outbreak Detection.

Detecting infectious disease outbreaks promptly is crucial for effective public health responses, mi...

Artificial Intelligence (AI)-Driven Approaches to Manage Postoperative Pain, Anxiety, and Psychological Outcomes in Surgical Patients: A Systematic Review.

Postoperative pain, anxiety, and psychological distress significantly impact surgical recovery, yet ...

Developing a transparent reporting tool for AI-based diagnostic prediction models of disease and syndrome in Chinese medicine: a Delphi protocol.

INTRODUCTION: The application of artificial intelligence in diagnostic prediction models for disease...

Interobserver agreement between artificial intelligence models in the thyroid imaging and reporting data system (TIRADS) assessment of thyroid nodules.

BACKGROUND: As ultrasound (US) is the most accurate tool for assessing the thyroid nodule (TN) risk ...