Background As the adoption of artificial intelligence (AI) in health care increases, it will
become increasingly crucial to involve health care professionals (HCPs) in develo** …

Background: The successful integration of artificial intelligence (AI) into clinical practice is
contingent upon physicians' comprehension of AI principles and its applications. Therefore …

Rationale and Objectives To evaluate radiology residents' perspectives regarding inclusion
of artificial intelligence/machine learning (AI/ML) education in the residency curriculum …

ChatGPT and other artificial intelligence word prediction large database models are now
readily available to the public. Program directors should be aware of the general features of …

Stroke remains one of the leading causes of death and disability in Europe. The European
Stroke Action Plan (ESAP) defines four main targets for the years 2018 to 2030. The COVID …

Abstract The term Explainable Artificial Intelligence (xAI) groups together the scientific body
of knowledge developed while searching for methods to explain the inner logic behind the …

The application of artificial intelligence (AI) to healthcare has garnered significant
enthusiasm in recent years. Despite the adoption of new analytic approaches, medical …

Rapid technological advances have transformed medical education, particularly in
radiology, which depends on advanced imaging and visual data. Traditional electronic …

Aim To understand the attitudes of UK radiology trainees towards artificial intelligence (AI) in
Radiology, in particular, assessing the demand for AI education. Materials and methods A …

Introduction Medical imaging is arguably the most technologically advanced field in
healthcare, encompassing a range of technologies which continually evolve as computing …