Revamping Undergraduate Radiology Education in a Problem-Based Learning Driven Institution: Successes, Challenges, and Lessons Learned.

Radiology teaching for undergraduate medical students is often limited in amount and lacking a longitudinal approach spanning multiple years. At our institution, we had a goal to develop a formal and sustainable radiology curriculum. There were sequential changes made to the curriculum over several years and here, the successes, challenges, and lessons learned are outlined.

Artificial Intelligence Chatbots' Understanding of the Risks and Benefits of Computed Tomography and Magnetic Resonance Imaging Scenarios.

Purpose: Patients may seek online information to better understand medical imaging procedures. The purpose of this study was to assess the accuracy of information provided by 2 popular artificial intelligence (AI) chatbots pertaining to common imaging scenarios' risks, benefits, and alternatives.

Methods: Fourteen imaging-related scenarios pertaining to computed tomography (CT) or magnetic resonance imaging (MRI) were used.

Comparative Performance of ChatGPT and Bard in a Text-Based Radiology Knowledge Assessment.

Purpose: Bard by Google, a direct competitor to ChatGPT, was recently released. Understanding the relative performance of these different chatbots can provide important insight into their strengths and weaknesses as well as which roles they are most suited to fill. In this project, we aimed to compare the most recent version of ChatGPT, ChatGPT-4, and Bard by Google, in their ability to accurately respond to radiology board examination practice questions.