Background We aimed to describe pre-existing factors associated with severe disease,
primarily admission to critical care, and death secondary to SARS-CoV-2 infection in …

False assumptions that sex and gender are binary, static, and concordant are deeply
embedded in the medical system. As machine learning researchers use medical data to …

Background Many factors involved in the onset and clinical course of the ongoing COVID-19
pandemic are still unknown. Although big data analytics and artificial intelligence are widely …

Introduction Morbidity and mortality from COVID-19 are higher among men, however,
underlying pathways remain controversial. We aim to investigate sex-gender differences in …

Background: Clinical natural language processing (cNLP) systems are of crucial importance
due to their increasing capability in extracting clinically important information from free text …

Background Early in the COVID-19 pandemic, it was noted that males seemed to have
higher case-fatality rates than females. We examined the magnitude and consistency of the …

Background: Natural language processing (NLP) of unstructured text from electronic medical
records (EMR) can improve the characterization of COVID-19 signs and symptoms, but large …

Summary Background The current SARS-CoV-2 pandemic created an urgent need for rapid,
infection screening applied to large numbers of asymptomatic individuals. To date …

Rationale: Given the expanding number of COVID-19 cases and the potential for new waves
of infection, there is an urgent need for early prediction of the severity of the disease in …

Background Artificial intelligence (AI) is a broad outlet of computer science aimed at
constructing machines capable of simulating and performing tasks usually done by human …