Introduction Despite the proliferation of Artificial Intelligence (AI) technology over the last
decade, clinician, patient, and public perceptions of its use in healthcare raise a number of …

Background Artificial intelligence (AI) technology has the potential to transform medical
practice within the medical imaging industry and materially improve productivity and patient …

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

Purpose Studies have documented the clinical potentials of artificial intelligence (AI) in
medical imaging practice to improving patient care. This study aimed to qualitatively explore …

The application of machine learning (ML) and artificial intelligence (AI) in healthcare
domains has received much attention in recent years, yet significant questions remain about …

Abstract Background Artificial Intelligence (AI) technologies have already started impacting
clinical practice across various settings worldwide, including the radiography profession …

AI is becoming more prevalent in healthcare and is predicted to be further integrated into
workflows to ease the pressure on an already stretched service. The National Health Service …

Data science health research promises tremendous benefits for African populations, but its
implementation is fraught with substantial ethical governance risks that could thwart the …

Background Artificial intelligence (AI) is being increasingly adopted in the health care
industry for administrative tasks, patient care operations, and medical research. Objective …

This study examines the necessary changes in Ghana's medical negligence law which
governs artificial intelligence (AI) pilots in hospitals to preserve the doctor-patient …