[7] Medical Education 2.0: Teaching tomorrow’s doctors in an AI-world

Adam’s guest today is Dr. Akshay Rajaram, a community emergency physician and AI expert. Our conversation about the impact of AI on medical education is inspired by a recent paper that Akshay wrote in the Canadian Medical Education Journal titled “Large Language models in medical education: new tools for experimentation and discovery”. We are also joined by a resident co-host, Dr. Henry Li, who is a PGY4 pediatric emergency medicine resident from the University of Alberta who also has a special interest in the field. We cover some AI and LLM model basics as well as some of the implications of AI for both medical learners and educators. 

  Length of Episode: 44:01

 Article discussed:  

Rajaram A. Large language models in medical education: new tools for experimentation and discovery. Can Med Educ J. 2024 Jul.

For more information, check out these resources that we mentioned during our conversation with Akshay:  

 1. Rajaram – LLMs in Medical Education: new tools for experimentation and discovery: https://journalhosting.ucalgary.ca/index.php/cmej/article/view/78879  
2. Different versions of ChatGPT: https://www.cnet.com/tech/services-and-software/the-free-version-of-chatgpt-just-got-a-big-upgrade/  
3. IBM Research Retrieval Augmented Generation: https://youtu.be/T-D1OfcDW1M?si=OznZlMpG_Rb-nifS  
4. Retrieval Augmented Generation: https://bea.stollnitz.com/blog/rag/  
5. Gao et al: Comparing scientific abstracts generated by ChatGPT to real abstracts with detectors and blinded human reviewers: https://www.nature.com/articles/s41746-023-00819-6  
6. https://openai-openai-detector.hf.space  
7. NEJM Grand Rounds – Google’s Exploration of LLMs in Medicine https://open.spotify.com/episode/5hweI4jXl64vfNJ7Wnn6pr?si=a5d5fa751ca94860