AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Education, Medical

Showing 131 to 140 of 230 articles

Clear Filters

The rise of ChatGPT: Exploring its potential in medical education.

Anatomical sciences education
The integration of artificial intelligence (AI) into medical education has the potential to revolutionize the way students learn about biomedical sciences. Large language models, such as ChatGPT, can serve as virtual teaching assistants, providing st...

The fundamentals of Artificial Intelligence in medical education research: AMEE Guide No. 156.

Medical teacher
The use of Artificial Intelligence (AI) in medical education has the potential to facilitate complicated tasks and improve efficiency. For example, AI could help automate assessment of written responses, or provide feedback on medical image interpret...

LecturePlus: a learner-centered teaching method to promote deep learning.

Advances in physiology education
A new teaching format, the LecturePlus, was formulated as a lecture followed by small-group learning activities. This study assessed the effectiveness of LecturePlus in medical education. An interventional study was conducted among final-year medical...

Artificial intelligence in medical education: a cross-sectional needs assessment.

BMC medical education
BACKGROUND: As the information age wanes, enabling the prevalence of the artificial intelligence age; expectations, responsibilities, and job definitions need to be redefined for those who provide services in healthcare. This study examined the perce...

The potential scope of a humanoid robot in anatomy education: a review of a unique proposal.

Surgical and radiologic anatomy : SRA
INTRODUCTION: Applications based on artificial intelligence and machine learning are becoming more popular in teaching learning. Advanced technologies have facilitated robots to carry out various human-like functions, which have navigated the interes...

Does a deep learning inventory predict knowledge transfer? Linking student perceptions to transfer outcomes.

Advances in health sciences education : theory and practice
Students are often encouraged to learn 'deeply' by abstracting generalizable principles from course content rather than memorizing details. So widespread is this perspective that Likert-style inventories are now routinely administered to students to ...

Artificial intelligence in healthcare: a primer for medical education in radiomics.

Personalized medicine
The application of artificial intelligence (AI) to healthcare has garnered significant enthusiasm in recent years. Despite the adoption of new analytic approaches, medical education on AI is lacking. We aim to create a usable AI primer for medical ed...