Background Generative artificial intelligence (GAI) is revolutionizing healthcare with
solutions for complex challenges, enhancing diagnosis, treatment, and care through new …

Background Writing multiple choice questions (MCQs) for the purpose of medical exams is
challenging. It requires extensive medical knowledge, time and effort from medical …

Background The transformative potential of artificial intelligence (AI) in higher education is
evident, with conversational models like ChatGPT poised to reshape teaching and …

Aim This study aimed to evaluate the real-life performance of clinical vignettes and multiple-
choice questions generated by using ChatGPT. Methods This was a randomized controlled …

ChatGPT's role in creating multiple-choice questions (MCQs) is growing but the validity of
these artificial-intelligence-generated questions is unclear. This literature review was …

Abstract Chat Generative Pre-Trained Transformer (ChatGPT) is a sophisticated natural
language model that employs advanced deep learning techniques and is trained on …

Generative artificial intelligence provides both opportunities and challenges for higher
education. Existing literature has not properly investigated how this technology would impact …

Purpose This study aimed to assess the performance of ChatGPT (GPT-3.5 and GPT-4) as a
study tool in solving biostatistical problems and to identify any potential drawbacks that …

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

Introduction This research investigated the capabilities of ChatGPT-4 compared to medical
students in answering MCQs using the revised Bloom's Taxonomy as a benchmark …