Randomized clinical trials remain the gold standard for establishing a medication's effects, producing the evidence by which ...

Abstract: This paper investigates the use of Deep Q-Learning (DQN), a reinforcement learning algorithm, to optimize strategies for controlling epidemic spread. While traditional models like SIR offer ...

U.S. officials are building a case that ongoing measles outbreaks in South Carolina and other states are unrelated to last ...

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

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 ...

Introduction Colonic diverticulosis is the most common structural abnormality of the colon in developed countries, with an increasing global prevalence. Approximately 20–25% of affected individuals ...

Objective To analyse temporal trends of respiratory infectious diseases (RIDs) in Baiyin City from 2014 to 2023, aiming to explore the epidemiological patterns of these diseases (tuberculosis, scarlet ...

While humans evolved to perform routine endurance activity, recent secular trends in the United States and globally have resulted in a dramatic rise in the amount of time spent inactive in both ...

The U.S. Department of Health and Human Services on Thursday outlined a strategy to expand its use of artificial intelligence, building on the Trump administration's enthusiastic embrace of the ...