AI-assisted teaching videos for thyroid eye disease in resident training

Source article: Comparing teacher-made and AI-assisted teaching videos for thyroid eye disease: an exploratory study

Background Thyroid eye disease (TED), together with its acute and vision-threatening complication, dysthyroid optic neuropathy (DON), requires timely diagnosis and intervention. The limited availability of specialists in orbital diseases poses a significant challenge to ophthalmology residency training. In this context, generative artificial intelligence (AI) has created new opportunities for medical education, though its effectiveness in ophthalmology training remains to be explored. Objective This exploratory…

By the Truvace deskOctober 22, 20262 min read1 sourcePeer-reviewedTRV-2026-2174· cite & verify

Trace impact readingContested

P 71

Both sides are scored from claims and sources, not community votes.

G 68

In brief

Researchers randomly assigned 46 residents, both general and ophthalmology, to watch either an AI-assisted or a teacher-made five-minute video on thyroid eye disease. Participants took 20-item tests at baseline, five minutes after viewing and one week later. The AI-assisted group improved significantly in the short term, and the two video types did not differ statistically.

The results suggest generative AI could help produce teaching material where orbital disease specialists are scarce, but not as a substitute for them. Expert oversight was still needed, no production time was saved, and the short-term gain faded by one week. Because the study is exploratory and small, larger and longer trials would be needed to establish how well it works.

Main points

Forty-six residents were randomly assigned to an AI-assisted or a teacher-made five-minute video on thyroid eye disease.
In the AI-assisted group, scores rose from baseline to five minutes (mean difference 13.04, p = 0.004) but not significantly at one week (p = 0.16).
Completion time fell significantly from baseline to both five minutes and one week in the AI-assisted group.
There were no significant differences between the AI-assisted and teacher-made groups on any assessment.
Learning experience correlated positively with learning outcome (r = 0.60).

The gain

A five-minute AI-assisted video on thyroid eye disease raised resident test scores in the short term and performed no differently from a teacher-made video.

The problem

The AI-assisted workflow needed substantial expert oversight and did not cut total production time, and the score gain did not last to one week.

The rundown

The study was motivated by the shortage of orbital disease specialists, which limits ophthalmology residency training on thyroid eye disease and its vision-threatening complication, dysthyroid optic neuropathy. Generative AI was tested as a way to expand educational resources.

The 46 participants, 28 general residents and 18 ophthalmology residents, completed three online 20-item tests. Test 1 was a baseline, Test 2 came five minutes after learning together with a survey about AI tools, and Test 3 came one week later to assess retention.

The authors conclude that AI-assisted videos may be best used as supplementary resources alongside human expertise, given the limited long-term retention, the required expert oversight and the lack of production-time savings.

What this doesn’t fix

The study is exploratory, the improvement from the AI-assisted video was not sustained at one week, and the AI workflow still needed substantial expert oversight without reducing production time.