In the last few years, the trend in health care of embracing artificial intelligence (AI) has
dramatically changed the medical landscape. Medical centres have adopted AI applications …

Artificial intelligence (AI) with deep learning models has been widely applied in numerous
domains, including medical imaging and healthcare tasks. In the medical field, any judgment …

Background and objectives Artificial intelligence (AI) has branched out to various
applications in healthcare, such as health services management, predictive medicine …

Clinical decision support systems (CDSSs) are increasingly integrated into healthcare
settings to improve patient outcomes, reduce medical errors and enhance clinical efficiency …

The purpose of this paper is to propose a novel hybrid framework for evaluating and
benchmarking trustworthy artificial intelligence (AI) applications in healthcare by using multi …

Integration of artificial intelligence (AI) into clinical decision support systems (CDSS) poses a
socio-technological challenge that is impacted by usability, trust, and human-computer …

Background Clinical decision support systems (CDSSs) can provide various functions and
advantages to healthcare delivery. Quality healthcare during pregnancy and childbirth is of …

Artificial intelligence can use real-world data to create models capable of making predictions
and medical diagnosis for diabetes and its complications. The aim of this commentary article …

Although it is widely assumed that Artificial Intelligence (AI) will revolutionise healthcare in
the near future, considerable progress must yet be made in order to gain the trust of …

Abstract The concept of Explainable Artificial Intelligence (XAI) provides a clear and
comprehensible explanation for the reasoning behind a system's output, allowing users to …