Hospital-Based Medicine

Infection Control

Latest AI and machine learning research in infection control for healthcare professionals.

4,690 articles
Stay Ahead - Weekly Infection Control research updates
Subscribe
Browse Specialties
Showing 85-105 of 4,690 articles
Sharing reliable information worldwide: healthcare strategies based on artificial intelligence need external validation. Position paper.

Training machine learning models using data from severe COVID-19 patients admitted to a central hosp...

A deep learning model for QRS delineation in organized rhythms during in-hospital cardiac arrest.

BACKGROUND: Cardiac arrest (CA) is the sudden cessation of heart function, typically resulting in lo...

Machine learning to predict stroke risk from routine hospital data: A systematic review.

PURPOSE: Stroke remains a leading cause of morbidity and mortality. Despite this, current risk strat...

Utilizing machine learning to predict hospital admissions for pediatric COVID-19 patients (PrepCOVID-Machine).

The COVID-19 pandemic has burdened healthcare systems globally. To curb high hospital admission rate...

Machine learning prediction of in-hospital mortality and external validation in patients with cardiogenic shock: the RESCUE score.

INTRODUCTION AND OBJECTIVES: Despite advances in mechanical circulatory support, mortality rates in ...

Can artificial intelligence lower the global sudden cardiac death rate? A narrative review.

PURPOSE OF REVIEW: WHO defines SCD as sudden unexpected death either within 1 h of symptom onset (wi...

Robotic versus manual disinfection of global priority pathogens at COVID-19-dedicated hospitals.

BACKGROUND: Twelve bacterial families identified as global priority pathogens (GPPs) pose the greate...

Physical Color Calibration of Digital Pathology Scanners for Robust Artificial Intelligence-Assisted Cancer Diagnosis.

The potential of artificial intelligence (AI) in digital pathology is limited by technical inconsist...

Using Inertial Measurement Units and Machine Learning to Classify Body Positions of Adults in a Hospital Bed.

In hospitals, timely interventions can prevent avoidable clinical deterioration. Early recognition o...

Predictive models and determinants of mortality among T2DM patients in a tertiary hospital in Ghana, how do machine learning techniques perform?

BACKGROUND: The increasing prevalence of type 2 diabetes mellitus (T2DM) in lower and middle - incom...

Multimodal deep learning for predicting in-hospital mortality in heart failure patients using longitudinal chest X-rays and electronic health records.

Amid an aging global population, heart failure has become a leading cause of hospitalization among o...

Novel silver nanoparticle-based biomaterials for combating biofilms.

BACKGROUND: is a significant nosocomial pathogen that has developed resistance to multiple antibiot...

Hospital Artificial Intelligence/Machine Learning Adoption by Neighborhood Deprivation.

OBJECTIVE: To understand the variation in artificial intelligence/machine learning (AI/ML) adoption ...

The Adelaide Score: prospective implementation of an artificial intelligence system to improve hospital and cost efficiency.

BACKGROUND: The Adelaide Score is an artificial intelligence system that integrates objective vital ...

Mortality prediction of inpatients with NSTEMI in a premier hospital in China based on stacking model.

BACKGROUND: Acute myocardial infarction (AMI) remains a leading cause of hospitalization and death i...

Early prediction of functional impairment at hospital discharge in patients with osteoporotic vertebral fracture: a machine learning approach.

Although conservative treatment is commonly used for osteoporotic vertebral fracture (OVF), some pat...

Browse Specialties