Surveillance

Factor Analysis and Prediction of Disease Risk Based on Large Ensembles of Models: Application to Virus Yellows in Sugar Beet.

Identifying disease risk factors, characterizing their effects, and forecasting disease risk across ...

Artificial Intelligence in Surgical Outcomes Reporting: The next best thing, or just Artificially Intelligent GIGO?

Large Language Models and the Analyses of Adherence to Reporting Guidelines in Systematic Reviews and Overviews of Reviews (PRISMA 2020 and PRIOR).

In the context of Evidence-Based Practice (EBP), Systematic Reviews (SRs), Meta-Analyses (MAs) and o...

Rapid prediction of antibiotic resistance in complex using whole-genome and metagenomic sequencing.

Clinical management and surveillance of the complex (ECC) face significant challenges due to inaccu...

Harmful Algae Forecasting through an Ocean Data Justice Lens.

Forecasting systems for harmful algal blooms (HABs) are becoming more common, as HAB monitoring is i...

Mammography reporting dataset with BI-RADS system for natural language processing applications: Addressing public data gaps in Spanish.

Applying Natural Language Processing (NLP) to clinical reports is important for automating the analy...

Insights Powered by Artificial Intelligence: Analyzing the Extent of Method Validation in Pesticide Residue Literature.

Validation of analytical methods to assess figures of merit and other key performance parameters is ...

PhenoDP: leveraging deep learning for phenotype-based case reporting, disease ranking, and symptom recommendation.

BACKGROUND: Current phenotype-based diagnostic tools often struggle with accurate disease prioritiza...

Monitoring strategies for continuous evaluation of deployed clinical prediction models.

OBJECTIVE: As machine learning adoption in clinical practice continues to grow, deployed classifiers...

The future of healthcare-associated infection surveillance: Automated surveillance and using the potential of artificial intelligence.

Healthcare-associated infections (HAIs) are common adverse events, and surveillance is considered a ...

The Current State of Artificial Intelligence on Detecting Pulmonary Embolism via Computerised Tomography Pulmonary Angiogram: A Systematic Review.

Pulmonary embolism (PE) is a life-threatening condition with significant diagnostic challenges due ...

Diagnostic performances of hysteroscopy in post-remission surveillance of patients treated conservatively for endometrial cancer and atypical hyperplasia: a cohort study.

OBJECTIVE: Hysteroscopy is commonly used for diagnosing benign endometrial conditions, but its diagn...

Use of deep learning-based NLP models for full-text data elements extraction for systematic literature review tasks.

Systematic literature review (SLR) is an important tool for Health Economics and Outcomes Research (...

Efficiency and Quality of Generative AI-Assisted Radiograph Reporting.

IMPORTANCE: Diagnostic imaging interpretation involves distilling multimodal clinical information in...

A general framework for governing marketed AI/ML medical devices.

This project represents the first systematic assessment of the US Food and Drug Administration's pos...

An Appraisal of the Quality of Development and Reporting of Predictive Models in Spine Surgery.

Study DesignLiterature review.ObjectiveThe Transparent Reporting of a multivariable prediction model...

Combining structural equation modeling analysis with machine learning for early malignancy detection in Bethesda Category III thyroid nodules.

Atypia of Undetermined Significance (AUS), classified as Category III in the Bethesda Thyroid Cytopa...

Hotspots and Trends in Research on Early Warning of Infectious Diseases: A Bibliometric Analysis Using CiteSpace.

Emerging and re-emerging infectious diseases (EIDs and Re-EIDs) cause significant economic crises a...

Artificial Intelligence model to predict resistances in Gram-negative bloodstream infections.

Artificial intelligence (AI) models are promising tools for predicting antimicrobial susceptibility ...

Brugada syndrome.

Brugada syndrome (BrS) is a cardiac channelopathy associated with an elevated risk of arrhythmias an...

Transparent reporting of generative artificial intelligence use in systematic reviews.