Purpose Nowadays, the digitized economy and technological advancements are increasing
at a faster pace. One such technology that is gaining popularity in the healthcare sector is …

Artificial Intelligence (AI) is increasingly influential across various sectors, including
healthcare, with the potential to revolutionize clinical practice. However, risks associated …

The utilization of artificial intelligence (AI) in clinical practice has increased and is evidently
contributing to improved diagnostic accuracy, optimized treatment planning, and improved …

Healthcare decision-making is a complicated aspect that requires collaboration among
stakeholders, whilst ensuring its sustainability is essential for addressing the requirements of …

This study work is among the few attempts to understand the significance of AI and its
implementation barriers in the healthcare systems in developing countries. Moreover, it …

Clinical adoption of an artificial intelligence–enabled imaging tool requires critical appraisal
of its life cycle from development to implementation by using a systematic, standardized, and …

We reviewed foundational concepts in artificial intelligence (AI) and machine learning (ML)
and discussed ways in which these methodologies may be employed to enhance progress …

The COVID-19 pandemic has had a major impact on health and social service systems
(HSSS) worldwide. It has put tremendous pressure on these systems, threatening access …

Abstract The implementation of Artificial Intelligence (AI) still faces significant hurdles and
one key factor is the access to data. One approach that could support that is federated …

Background Patients' acceptance of artificial intelligence (AI) based health-related
technologies depend strongly on their perception and trust of AI. This research field has not …