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Episode 6 - AI
Today I am joined by Hussein, Max (our resident DCE Learning Technologist) and Kash Makam (Consultant Anaesthetist and regional Final FRCA teaching lead) to discuss the emergence of AI in medical education and how we can begin to use some of the tools available in our teaching. There are certainly big time saving benefits for educators. However, there are pitfalls and caveats worth knowing about. As ever a good understanding of learning theory will help guard against inappropriate use/overuse. It’s certainly an fascinating topic and one which we will return to in the future to see how AI in medical education plays out. We hope to spark your interest and maybe tempt you to experiment with some of the tools out there.
Further reading:When looking for resources it’s worth knowing that the biggest volume of material relates to AI in education at school or university level and this is still worth a read. It will take another year or so before high quality literature is available specifically within medical education.Tools out there, some of which we’ve used - easy enough to find by typing into a Google search:Language: ChatGPT (by open.AI), Bard (by Google), ClaudeImages: Dalle-E 2 (although need credits: 115 for $15), Midjourney, Stable DiffusionVideos: Vyond Go, PictoryVoice - Murf.AI, Vyond Go, Synthesia (generates video of onscreen human speaking your script). If you want to be really creeped out there is ‘ElevenLabs’ which can mimic your own voice to put on scripts!This is an excellent blog from the Digital Learning Institute taking key points and clips from a webinar explaining how to get the most from the various AI tools when teaching: https://www.digitallearninginstitute.com/webinar-highlights/innovative-ways-to-use-ai-in-teaching/ Here’s another video (there are loads) which gives a quick overview of 5 different types of AI tools out there and how to use them: https://youtu.be/9HAUYuzYxqw (from this secondary education blog)Hussein mentioned the PICRAT model when considering integrating technology into teaching - more on that here: PICRAT (edtechbooks.org)Abd-alrazaq A, et al. (2023). Large Language Models in Medical Education: Opportunities, Challenges, and Future Directions. JMIR Med Educ, 9: e48291 https://mededu.jmir.org/2023/1/e48291 Don’t you know, there is even now a clinical fellowship in AI: https://www.aicentre.co.uk/fellowships For more traditional medical AI for use clinically (diagnosis/treatment plans) there is Glass AI.
A production by the Clinical Education Department at the University Hospitals of Leicester NHS Trust.Hosts:Dr Andrew HughesConsultant AnaesthetistFaculty Development TutorDr Hussein UraibyPathology RegistrarTwitter: @UHL_ClinEd @DrAHughesYouTube: @UHLClinEdEmail: [email protected]
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By Dr Andrew HughesToday I am joined by Hussein, Max (our resident DCE Learning Technologist) and Kash Makam (Consultant Anaesthetist and regional Final FRCA teaching lead) to discuss the emergence of AI in medical education and how we can begin to use some of the tools available in our teaching. There are certainly big time saving benefits for educators. However, there are pitfalls and caveats worth knowing about. As ever a good understanding of learning theory will help guard against inappropriate use/overuse. It’s certainly an fascinating topic and one which we will return to in the future to see how AI in medical education plays out. We hope to spark your interest and maybe tempt you to experiment with some of the tools out there.
Further reading:When looking for resources it’s worth knowing that the biggest volume of material relates to AI in education at school or university level and this is still worth a read. It will take another year or so before high quality literature is available specifically within medical education.Tools out there, some of which we’ve used - easy enough to find by typing into a Google search:Language: ChatGPT (by open.AI), Bard (by Google), ClaudeImages: Dalle-E 2 (although need credits: 115 for $15), Midjourney, Stable DiffusionVideos: Vyond Go, PictoryVoice - Murf.AI, Vyond Go, Synthesia (generates video of onscreen human speaking your script). If you want to be really creeped out there is ‘ElevenLabs’ which can mimic your own voice to put on scripts!This is an excellent blog from the Digital Learning Institute taking key points and clips from a webinar explaining how to get the most from the various AI tools when teaching: https://www.digitallearninginstitute.com/webinar-highlights/innovative-ways-to-use-ai-in-teaching/ Here’s another video (there are loads) which gives a quick overview of 5 different types of AI tools out there and how to use them: https://youtu.be/9HAUYuzYxqw (from this secondary education blog)Hussein mentioned the PICRAT model when considering integrating technology into teaching - more on that here: PICRAT (edtechbooks.org)Abd-alrazaq A, et al. (2023). Large Language Models in Medical Education: Opportunities, Challenges, and Future Directions. JMIR Med Educ, 9: e48291 https://mededu.jmir.org/2023/1/e48291 Don’t you know, there is even now a clinical fellowship in AI: https://www.aicentre.co.uk/fellowships For more traditional medical AI for use clinically (diagnosis/treatment plans) there is Glass AI.
A production by the Clinical Education Department at the University Hospitals of Leicester NHS Trust.Hosts:Dr Andrew HughesConsultant AnaesthetistFaculty Development TutorDr Hussein UraibyPathology RegistrarTwitter: @UHL_ClinEd @DrAHughesYouTube: @UHLClinEdEmail: [email protected]