Artificial intelligence (AI) has driven innovative transformation in healthcare service patterns,
despite a lack of understanding of its performance in clinical practice. We conducted a cross …

Introduction Machine learning as a clinical decision support system tool has the potential to
assist clinicians who must make complex and accurate medical decisions in fast paced …

Abstract Background Artificial Intelligence (AI) is recognized by emergency physicians (EPs)
as an important technology that will affect clinical practice. Several AI-tools have already …

Background Machine learning (ML) model is increasingly used to predict short-term
outcome in critically ill patients, but the study for long-term outcome is sparse. We used …

Background Artificial intelligence (AI) has been extensively applied in the individualized
diagnosis and treatment of critical illness, and numerous studies have been published on …

Background. Artificial intelligence (AI) has been widely applied in the diagnosis and therapy
of chronic liver disease (CLD), but there is currently little insight into the trials registered on …

Introduction In the rapidly evolving field of digital public health, effective management of
medical equipment is critical to maintaining high standards of healthcare service levels and …

Background The combined use of radiotherapy (RT) and immune checkpoint inhibitors (ICIs)
is a promising strategy in the treatment of cancer patients. We sought to comprehensively …

Artificial intelligence (AI) is gradually changing the landscape of medicine. With the advent of
powerful computation and the availability of “big data,” the applications of AI in healthcare …

Background: Artificial intelligence (AI), as a major digital health technology (DHT), has
brought great hope for changing the landscape of healthcare and medicine. We aim to …