Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality globally. Effective management ...

UCSF researchers have discovered a way to identify deadly lung infections with improved accuracy by pairing AI with a unique ...

Both H1N1 and COVID-19 spread across the U.S. faster and more unpredictably than early detection systems could keep up.

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 ...

The Covenant Health organization has revised to nearly 500,000 the number of individuals affected by a data breach discovered ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Chatbots can be overly agreeable. To get less agreeable responses, ask for opposing viewpoints, multiple perspectives, and a ...

Abstract: Social media is a pivotal aspect of modern communication, influencing how individuals connect, share, and engage. This study investigates its effects on mental well-being through the ...

New York rallied from an 11-point second-half deficit to beat San Antonio 124-113 in the NBA Cup championship game. The Knicks outscored the Spurs 35-19 in the fourth quarter and held a 67-56 ...

Data centers create new jobs, use significantly less water than the clothing and beef industries, and don't drive up electricity rates. Data centers have become an essential part of powering our daily ...

Background: Depression affects more than 350 million people globally. Traditional diagnostic methods have limitations. Analyzing textual data from social media provides new insights into predicting ...