The potential of AI text-to-video generation in medical education for neurologists

Authors: Noronha A1,  Davis D1, Rahman T1, Jain D1, Ogundiya O1, Vijayanathan J1, Khusakul P1, Fleming F1, Aldridge C1, Valnarov-Boulter I1,  Malik Z1,  Foakes A3,  Young TM2

Figure showing a still image from one of the sample AI generated videos we produced for this project. Showing a female speaker talking about how to recognise 'red flags' when patients present headaches.
Figure showing a still image from one of the sample AI generated videos we produced for this project (using Synthesia).

Introduction

AI text to image generating tools have recently been used to make novel medical images for medical education. Less well developed is the emergent field of AI text to video generation in which text descriptors are used to produce short videos together with subtitles and/or AI avatars.

Aims

Given the wide use of conventional videos in medical education, we assessed the current potential of available AI text to video generation in this manner.

Methods

We identified existing widely available AI text-to-video generation tools, then used these to generate trial videos. We then assessed their production efficiency and suitability for neurology education.

Results

We identified 17 AI text-to-video generation tools.  With these we generated short neurology videos including some of fair accuracy which we will show during our presentation. Some limitations included: ‘jumping’ of videos or audio and  a lack of variety of both stock videos and avatar voices.

Conclusions

We provide examples supporting the potential use of AI text to video generation for the production of medical education videos.

 

The potential of AI text-to-video generation in medical education for neurologists

 

Download a pdf file of the slides embedded above: The potential of AI text-to-video generation in medical education for neurologists.

 

Download a PowerPoint file of the slides embedded above:

The potential of AI text-to-video generation in medical education for neurologists smaller with links to videos

Sample videos produced with AI text-to-video generative tools as described in the presentation above:

Results: AI Text to video generation using the tool by Colossyan with permission to display for this conference.

 

Results: AI Text to video generation using the tool: Colossyan with permission to display for this conference

Results: AI Text to video generation using the tool: Synthesia with permission to display for this conference.

Results: AI Text to video generation using the tool: Midjourney (moving images generated from text prompt): 'Patient walking with a walking stick photographic hyper realistic quality'


Footnotes

1 Medical student on iBSc Clinical Neurology & Brain Sciences degree at Queen Square Institute of Neurology, UCL

2 Course director of Clinical Neurology & Brain Sciences iBSc at Queen Square Institute of Neurology, UCL

3Senior administrator, Clinical Neurology by distance learning MSc/PG Diploma/ PG Cert at Queen Square Institute of Neurology, UCL

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