Advancing Medical Education: Performance of Generative Artificial Intelligence Models on Otolaryngology Board Preparation Questions With Image Analysis Insights.

Objective  To evaluate and compare the performance of Chat Generative Pre-Trained Transformer (ChatGPT), GPT-4, and Google Bard on United States otolaryngology board-style questions to scale their ability to act as an adjunctive study tool and resource for students and doctors. Methods A 1077 text question and 60 image-based questions from the otolaryngology board exam preparation tool BoardVitals were inputted into ChatGPT, GPT-4, and Google Bard. The questions were scaled true or false, depending on whether the artificial intelligence (AI) modality provided the correct response.

A student-driven mindfulness curriculum for first-year osteopathic medical students: a pilot study.

Context: Medical education is stressful and can adversely affect the health and well-being of students. Although mindfulness-based interventions (MBIs) have been successfully utilized in other settings, little is known about the use of student-led interventions in undergraduate medical education.

Objectives: The objectives of this study are to assess student satisfaction with four student-selected and student-led mindfulness activities incorporated into mandatory small-group sessions, the immediate impact of these activities on student stress levels, and student use of these activities outside the mindfulness sessions.