AI Medical Compendium Journal:
Medical science educator

Showing 1 to 4 of 4 articles

Pilot Study on Using Large Language Models for Educational Resource Development in Japanese Radiological Technologist Exams.

Medical science educator
In this study, we explored the potential application of large language models (LLMs) to the development of educational resources for medical licensure exams in non-English-speaking contexts, focusing on the Japanese Radiological Technologist National...

ChatGPT-4 Performance on USMLE Step 1 Style Questions and Its Implications for Medical Education: A Comparative Study Across Systems and Disciplines.

Medical science educator
We assessed the performance of OpenAI's ChatGPT-4 on United States Medical Licensing Exam STEP 1 style questions across the systems and disciplines appearing on the examination. ChatGPT-4 answered 86% of the 1300 questions accurately, exceeding the e...

Artificial Intelligence-Generated Facial Images for Medical Education.

Medical science educator
We evaluated the use of text-to-image models (Microsoft's Bing Image creator (powered by DALLĀ·E) and Shutterstock's AI image generator) to generate realistic images of human faces and their associated pathology, which may be useful for medical educat...

ChatGPT-Based Learning: Generative Artificial Intelligence in Medical Education.

Medical science educator
UNLABELLED: Large language models like ChatGPT are a type of machine learning model that can offer a positive paradigm shift in case-based/problem-based learning (CBL/PBL). ChatGPT may be able to augment the existing paradigm to work in conjunction w...