Latest AI and machine learning research in sepsis for healthcare professionals.
Objective To compare the performance of five machine learning models and SAPS II score in predicting...
OBJECTIVES: Early identification of infection improves outcomes, but developing models for early ide...
In three recent and related publications, researchers from Johns Hopkins University and Bayesian Hea...
Parkinson is the second most common neurodegenerative disease, mainly related to progressive locomot...
This study aimed to build convolutional neural network (CNN) models capable of classifying upper end...
BACKGROUND: Current strategies for risk stratification and prediction of neonatal early-onset sepsis...
Sepsis is a major public health problem and a leading cause of death in the world, where delay in th...
The detection of bacterial antibiotic resistance phenotypes is important when carrying out clinical ...
Critical care can benefit from analyzing data by machine learning approaches for supporting clinical...
Affecting millions of people all over the world, the COVID-19 pandemic has caused the death of hundr...
BACKGROUND: The infection caused by the SARS-CoV-2 (COVID-19) pandemic is a threat to human lives. A...
INTRODUCTION: Chronic osteomyelitis is difficult to cure definitively, because local areas are often...
Artificial intelligence, such as deep generative methods, represents a promising solution to de novo...
, a gram-negative bacterium, is a common pathogen causing nosocomial infection. The drug-resistance...
Sepsis is a serious cause of morbidity and mortality and yet its pathophysiology remains elusive. Re...
The increasing availability of electronic health records and administrative data and the adoption of...
The ability to detect surgical site infections (SSI) is a critical need for healthcare worldwide, bu...
Gingivitis is a condition that needs sustained concentration of antibiotic locally over extended per...
OBJECTIVES: The National Early Warning Score, Modified Early Warning Score, and quick Sepsis-related...
OBJECTIVE: Wound infection is prevalent in home healthcare (HHC) and often leads to hospitalizations...
The use of machine learning (ML) and artificial intelligence (AI) in medical research continues to ...