Surveillance

Hybrid Modeling of Cercospora Leaf Spot Epidemiology: Integrating Mechanistic and Machine Learning Approaches Using Remote-Sensing and Environmental Data.

Despite advances in modeling and sensing, no study has previously integrated mechanistic, meteorological, and uncrewed aerial vehicle (UAV) data into a unified predictive framework for Cercospora leaf spot. From 2020 to 2022, field trials with a susceptible variety under contrasting fungicide regimes and artificial inoculation were monitored for disease severity, airborne inoculum, and yield. Sign...

A Fluorescent Palladium-Ligand Platform for In Situ Monitoring and Bayesian Optimization of Sonogashira Coupling Reactions.

Palladium-catalyzed coupling reactions are indispensable tools for carbon-carbon bond formation, yet their optimization and real-time monitoring remain challenging in homogeneous catalytic systems. Herein, we report a multifunctional fluorescent ligand, (E)-N'-((1H-benzo[d][1,2,3]triazol-6-yl)methylene)-4-(7-(diethylamino)-2-oxo-2H-chromen-3-yl)benzohydrazide (BTACB), which integrates palladium co...

[Possibilities for integrating artificial intelligence into the diagnostic process].

BACKGROUND: The changing working conditions in routine radiological reporting require the use of new methods, such as the implementation of artificial...

Telehealth Approaches for Pediatric Otitis Media and Clinical Outcomes: Scoping Review.

BACKGROUND: Otitis media (OM) is a common pediatric infection worldwide. Conventionally, accurate diagnosis depends on in-person pneumatic otoscopy, w...

Prevalence of generative artificial intelligence sexualized image usage by adolescents in the United States.

The prevalence of generative artificial intelligence (GenAI) usage related to sexualized images amongst adolescents is a critical emerging research ar...

Modernizing public health surveillance for global health security leveraging AI.

An electronic public health surveillance (e-PHS) embracing One Health and participatory approaches will collect and analyze data at the human-animal-e...

Characterising responses in group-housed pigs to Salmonella typhimurium infection through integrated computer vision-based behavioural monitoring and statistical analyses.

BACKGROUND: Health monitoring is crucial for early disease detection and prompt intervention to mitigate the disease. Computer vision is one of the no...

Artificial Intelligence Technologies in Nursing Clinical Decision-Making: An Umbrella Review.

AIM: To describe contemporary peer-reviewed literature on artificial intelligence in nurses' clinical decision-making. METHODS: An umbrella review of ...

Using Generative Artificial Intelligence for Healthcare-Associated Infection Surveillance.

Generative artificial intelligence (GenAI) is becoming widespread in society but has had limited impact on medicine. GenAI can rapidly digest large do...

Detection of rare medical events in electronic health records using machine learning: Current practices and suggestions - A scoping review.

BACKGROUND: Routine healthcare data are increasingly stored in electronic health records (EHRs), presenting an exciting opportunity to leverage machin...

Development of death-risk score based on epidemiology of six mental disorders and application to mortality reduction via modifiable health behaviors.

OBJECTIVE: Prediction models for mortality rarely incorporate diverse psychiatric conditions, alongside clinical, behavioral, and demographic risk fac...

A pan-European assessment of multi-sector drivers of human hantavirus risk: climate, biodiversity, and socio-economic factors as key determinants.

The landscape of emerging zoonoses is being rapidly reshaped by concurrent climate change, environmental transformation, and biodiversity loss. These ...

The economic imperative of artificial intelligence in maternal and neonatal health: a review of evaluation benefits, frameworks, challenges, future perspectives, and limitations.

Integrating artificial intelligence (AI) into maternal and neonatal health (MNH) offers significant opportunities for enhancing patient care through a...

Certainty Language Use in Pediatric Radiology: A Single-Institution Analysis.

BACKGROUND: Radiologists often employ diagnostic certainty phrases (DCPs) to convey levels of confidence in imaging interpretations. Prior research in...

Toward AI foundation models for epidemics: Promise, challenges, and paths forward.

Foundation models-large AI systems pretrained on broad, heterogeneous data-are transforming scientific discovery. These models (e.g., GPT, GenCast, Al...

Prostate MRI quality improvement: a Roadmap from the ESUR Prostate MRI Working Group.

Prostate magnetic resonance imaging (MRI) has become a crucial tool in diagnosing and managing prostate cancer, mainly by helping to avoid unnecessary...

Colonoscopy surveillance in Lynch syndrome: what it prevents and what it does not.

Lynch syndrome (LS), synonymous with hereditary non-polyposis colorectal cancer (HNPCC), is caused by germline pathogenic variants in MLH1, MSH2, MSH6...

Trends, Antimicrobial Resistance, and Source Attribution of Campylobacter jejuni and C. coli in Beijing: An 8-Year Molecular Surveillance Study.

OBJECTIVES: Beijing, a large urban center with complex food supply chains, faces increasing challenges from foodborne Campylobacter infections. Howeve...

Possible quality indicators for clinical infectious diseases consultations - results from a hybrid Delphi-nominal group approach and scenario study.

SCOPE: Infectious diseases consultation (IDC) services contribute to optimized infection management and are associated with improved outcomes, particu...

Advancing Global Drug Safety: Challenges and Future Perspectives in Pharmacovigilance.

Adverse Drug Reactions (ADRs) pose significant challenges to patient safety, healthcare systems, and public health worldwide. As the pharmaceutical la...