Background: Artificial intelligence (AI) is often promoted as a potential solution for many
challenges health care systems face worldwide. However, its implementation in clinical …

Background: Electronic health records (EHRs) have been adopted by most hospitals and
medical offices in the United States. Because of the rapidity of implementation, health care …

Background The digitization and automation of diagnostics and treatments promise to alter
the quality of health care and improve patient outcomes, whereas the undersupply of …

Background With the increasing acceptance of face-to-face classes transitioning to web-
based learning due to COVID-19, there is an increasing need to have educators trained and …

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

Background: With the rapid integration of genetics into medicine, it has become evident that
practicing physicians as well as medical students and clinical researchers need to be …

The increasing interest in the potential applications of generative artificial intelligence (AI)
models like ChatGPT in health care has prompted numerous studies to explore its …

Background: Colorectal cancer (CRC) is the third most common type of cancer and the
second leading cause of cancer death in the United States. About one in three adults in the …

Background: Podcasting has become a popular medium for medical education content.
Educators and trainees of all levels are turning to podcasts for high-quality, asynchronous …

Background The uptake of artificial intelligence (AI) in health care is at an early stage.
Recent studies have shown a lack of AI-specific implementation theories, models, or …