Surveillance

Optimal vocabulary selection approaches for privacy-preserving deep NLP model training for information extraction and cancer epidemiology.

BACKGROUND: With the use of artificial intelligence and machine learning techniques for biomedical i...

Maximum Accuracy Machine Learning Statistical Analysis-A Novel Approach.

Logistic regression is a statistical tool of paramount significance in the field of epidemiology and...

Interpretation and reporting of predictive or diagnostic machine-learning research in Trauma & Orthopaedics.

There is increasing popularity in the use of artificial intelligence and machine-learning techniques...

Characterization of species isolated from vulvovaginal candidiasis by MALDI-TOF with antifungal susceptibility profiles.

BACKGROUND AND PURPOSE: Vulvovaginal candidiasis (VVC) is an opportunistic infection due to species...

Artificial Intelligence Enabling Radiology Reporting.

The radiology reporting process is beginning to incorporate structured, semantically labeled data. T...

Assessment of Automating Safety Surveillance From Electronic Health Records: Analysis for the Quality and Safety Review System.

BACKGROUND AND OBJECTIVES: In an effort to improve and standardize the collection of adverse event d...

Review of study reporting guidelines for clinical studies using artificial intelligence in healthcare.

High-quality research is essential in guiding evidence-based care, and should be reported in a way t...

Robotic Antimicrobial Susceptibility Platform (RASP): a next-generation approach to One Health surveillance of antimicrobial resistance.

BACKGROUND: Surveillance of antimicrobial resistance (AMR) is critical to reducing its wide-reaching...

Perspective: Big Data and Machine Learning Could Help Advance Nutritional Epidemiology.

The field of nutritional epidemiology faces challenges posed by measurement error, diet as a complex...

Consolidated EHR Workflow for Endoscopy Quality Reporting.

Although colonoscopy is the most frequently performed endoscopic procedure, the lack of standardized...

Comparison of Knowledge Databases to Be Used in Automated Monitoring of Orthopedic Medical Devices.

Surveillance and traceability of medical devices (MD) is a challenge in health care systems. In the ...

Instability of Variable-selection Algorithms Used to Identify True Predictors of an Outcome in Intermediate-dimension Epidemiologic Studies.

BACKGROUND: Machine-learning algorithms are increasingly used in epidemiology to identify true predi...

Computerized tumor multinucleation index (MuNI) is prognostic in p16+ oropharyngeal carcinoma.

BACKGROUNDPatients with p16+ oropharyngeal squamous cell carcinoma (OPSCC) are potentially cured wit...

Ensemble modelling in descriptive epidemiology: burden of disease estimation.

Ensemble modelling is a quantitative method that combines information from multiple individual model...

Commentary: Towards machine learning-enabled epidemiology.

Estimation of COVID-19 epidemic curves using genetic programming algorithm.

This paper investigates the possibility of the implementation of Genetic Programming (GP) algorithm ...

Clinical Databases for Breast Cancer Research.

Clinical database is a collection of clinical data related to patients, which can be used for analys...

Predictors of Survival among Male and Female Patients with Malignant Pleural Mesothelioma: A Random Survival Forest Analysis of Data from the 2000-2017 Surveillance, Epidemiology, and End Results Program.

BACKGROUND: Malignant pleural mesothelioma (MPM) is a rare and aggressive malignancy with a dismal p...

End-stage renal disease at dialysis initiation: Epidemiology and mortality risks during the first year of hemodialysis.

Chronic kidney disease (CKD) treated by hemodialysis (HD) is a worldwide major public health problem...

MINIMAR (MINimum Information for Medical AI Reporting): Developing reporting standards for artificial intelligence in health care.

The rise of digital data and computing power have contributed to significant advancements in artific...

Current Clinical Applications of Artificial Intelligence in Radiology and Their Best Supporting Evidence.

PURPOSE: Despite tremendous gains from deep learning and the promise of artificial intelligence (AI)...