Background Artificial intelligence (AI) applications are growing at an unprecedented pace in
health care, including disease diagnosis, triage or screening, risk analysis, surgical …

Atrial fibrillation (AF) is a complex condition requiring holistic management with multiple
treatment decisions about optimal thromboprophylaxis, symptom control (and prevention of …

Background Despite advancements in artificial intelligence (AI) to develop prediction and
classification models, little research has been devoted to real-world translations with a user …

This scoping review of randomised controlled trials on artificial intelligence (AI) in clinical
practice reveals an expanding interest in AI across clinical specialties and locations. The …

Background: Artificial intelligence (AI) has emerged as a promising tool in healthcare, with
numerous studies indicating its potential to perform as well or better than clinicians …

Background Clinical guidelines on atrial fibrillation management help optimize the use of
oral anticoagulants. However, guideline non-adherence is common, particularly in the …

Atrial fibrillation (AF) is the most common arrhythmia with diverse etiology that remarkably
relates to high morbidity and mortality. With the advancements in intensive clinical and basic …

Atrial fibrillation (AF) is common in primary care patients. Many patients who could benefit
from anticoagulation do not receive it. The objective of this study was to describe …

人工智能(artificial intelligence, AI) 的提出引发了医学领域的诸多技术创新,
并彻底改变了传统医学模式. 医学人工智能主要包括机器学习(machine learning, ML) …

The large number of publications on the topic of Artificial Intelligence (AI) and health care,
and the multitude of health-related commercial applications that contain some elements of …