Surveillance

How do experts classify sepsis cases for sepsis surveillance? Lessons learned from a Behavioural Artificial Intelligence Technology (BAIT) approach.

OBJECTIVES: To identify relevant objective variables for retrospective identification of 'suspected ...

Pharmacovigilance: Overview of Italian and European regulations, tools, and perspectives.

BackgroundThis study provides a concise overview of the Italian and European pharmacovigilance (PV) ...

Predicting post-traumatic stress disorder in relatives of critically ill patients.

PURPOSE OF REVIEW: Symptoms of posttraumatic stress disorder (PTSD) affect up to a third of relative...

Public concerns about human metapneumovirus: insights from Google search trends, X social networks, and web news mining to enhance public health communication.

The respiratory virus known as human metapneumovirus (hMPV) is linked to seasonal outbreaks and prim...

Digital Twins for Personalized Medicine Require Epidemiological Data and Mathematical Modeling: Viewpoint.

Digital twin (DT) technology is revolutionizing clinical practice by integrating diverse epidemiolog...

Gated recurrent unit with decay has real-time capability for postoperative ileus surveillance and offers cross-hospital transferability.

BACKGROUND: Ileus, a postoperative complication after colorectal surgery, increases morbidity, costs...

Leveraging geographic information system for dengue surveillance: a scoping review.

BACKGROUND: Vector-borne diseases caused by Aedes mosquitoes remain a major public health concern ac...

ESR Essentials: common performance metrics in AI-practice recommendations by the European Society of Medical Imaging Informatics.

This article provides radiologists with practical recommendations for evaluating AI performance in r...

Reporting guidelines for manuscripts that use artificial intelligence-based automated image analysis in .

Convolutional transform learning based fusion framework for scale invariant long term target detection and tracking in unmanned aerial vehicles.

Unmanned aerial vehicles (UAVs) become increasingly available devices with extensive usage as enviro...

Reporting guideline for Chatbot Health Advice studies: the CHART statement.

BACKGROUND: The Chatbot Assessment Reporting Tool (CHART) is a reporting guideline developed to prov...

Image dehazing algorithm based on deep transfer learning and local mean adaptation.

In recent years, haze has significantly hindered the quality and efficiency of daily tasks, reducing...

β-lactam resistance: epidemiological trends, molecular drivers, and innovative control strategies in the post-pandemic era.

SUMMARY () is a major human pathogen that can cause severe diseases such as meningitis and bacteremi...

Extracting antibiotic susceptibility from free-text microbiology reports using natural language processing.

There is a clinical need to appropriately apply large language model (LLM)-based systems for use in ...

Intraductal Papillary Mucinous Neoplasm and Pancreatic Cancer: Opportunity Knocks Twice.

Pancreatic cystic lesions are widely recognized as harbingers of pancreatic cancer. Intraductal papi...

Ecological epidemiology insights into clonorchiosis endemicity in Guangxi, China and Vietnam: a comprehensive machine learning analysis.

BACKGROUND: Clonorchis sinensis, the liver fluke responsible for clonorchiosis, presents a persisten...

Data Transformation to Advance AI/ML Research and Implementation in Primary Care.

Artificial intelligence and machine learning (AI/ML) in health care is accelerating at a breathtakin...

2025 AMCA PRESIDENTIAL ADDRESS: BEST MANAGEMENT PRACTICES FOR TECHNOLOGY ADOPTION FOR SURVEILLANCE AND CONTROL OF MOSQUITOES1.

Each year, the American Mosquito Control Association (AMCA) annual meeting features a program design...

Contextual structured annotations on PACS: a futuristic vision for reporting routine oncologic imaging studies and its potential to transform clinical work and research.

Radiologists currently have very limited and time-consuming options to annotate findings on the imag...

Accuracy of Large Language Models to Identify Stroke Subtypes Within Unstructured Electronic Health Record Data.

BACKGROUND: While codes suffice for identifying stroke events in surveillance, accurately classifyi...

Intrahepatic cholestasis of pregnancy.

Intrahepatic cholestasis of pregnancy is the most common pregnancy-related liver disease, manifestin...