Abstract Background Artificial Intelligence (AI) is rapidly transforming healthcare, and there
is a critical need for a nuanced understanding of how AI is resha** teaching, learning, and …

The integration of artificial intelligence (AI) into medical education has the potential to
revolutionize the way students learn about biomedical sciences. Large language models …

In the last decade, research on the use of artificial intelligence technologies in education has
steadily grown. Many studies have demonstrated the potential of these technologies to …

Background The growing application of artificial intelligence (AI) in healthcare has brought
technological breakthroughs to traditional diagnosis and treatment, but it is accompanied by …

Artificial intelligence (AI) and generative language models (GLMs) present significant
opportunities for enhancing medical education, including the provision of realistic …

Background As the information age wanes, enabling the prevalence of the artificial
intelligence age; expectations, responsibilities, and job definitions need to be redefined for …

Objective To compare evaluations of depressive episodes and suggested treatment
protocols generated by Chat Generative Pretrained Transformer (ChatGPT)-3 and ChatGPT …

Background: Artificial intelligence (AI) has the potential to revolutionize the way medicine is
learned, taught, and practiced, and medical education must prepare learners for these …

Background: The use of artificial intelligence (AI) in medicine not only directly impacts the
medical profession but is also increasingly associated with various potential ethical aspects …

The purpose of this research is to identify and evaluate the technical, ethical and regulatory
challenges related to the use of Artificial Intelligence (AI) in healthcare. The potential …