Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...

Food-insecure individuals have fewer total annual visits (in-person and via telehealth) across 4 types of office-based and outpatient visits: general checkup, diagnosis or treatment, psychotherapy or ...

Objective: To understand patient portal engagement stratified by patient characteristics among adults 50 years and older with at least 1 common chronic medical condition using electronic health ...

Background We investigated the prevalence, temporal trends and associated factors of overweight and obesity among adults in ...

A recent study published in the journal of Radiology showed that dynamic chest radiography (DCR) may serve as an effective ...

A Mumbai-based study has found widespread adoption of AI chatbots among MBBS students, with 86 percent using them for academic purposes and 97.7 percent aware of tools ...

Background Prehospital delays remain critical barriers to timely acute coronary syndrome (ACS) care, particularly for ...

Objectives This study aimed to identify the predictors of burnout, anxiety and depression among healthcare professionals during the COVID-19 pandemic. Design A secondary quantitative analysis of data ...

By a News Reporter-Staff News Editor at Vaccine Daily-- Data detailed on COVID-19 have been presented. According to news originating from Beijing, People’ s Republic of China, by NewsRx editors, the ...

Introduction We aimed to determine the association between paternal labour migration and the growth of the left-behind ...

Background Inflammatory bowel disease (IBD) arises from complex interactions among diet, host and gut microbiome. Although diet influences intestinal inflammation, the microbial and metabolic pathways ...