Post

New research · Ophthalmology
Frontiers in medicine · 1w
AI / informaticsFrontiers in medicine · 2026

Application effect and teaching evaluation of case-based learning combined with ChatGPT in ophthalmology clinical teaching.

Yuan Shen, Yuxiao Chen, Mengyao Li … Ai Zhuang
Read paper
OphthalmologyAI / informatics

Case-based learning with ChatGPT increased student satisfaction in ophthalmology teaching

Application effect and teaching evaluation of case-based learning combined with ChatGPT in ophthalmology clinical teaching.

Yuan Shen … Ai Zhuang
Frontiers in medicine · 2026
Purpose

To investigate the effectiveness of a case-based learning (case-based learning) model integrated with ChatGPT in ophthalmology clinical teaching and to compare its educational outcomes with those of the traditional multimedia lecture-based approach.

Methods

A total of 98 fifth-year clinical medicine students from Shanghai Jiao Tong University School of Medicine (Class of 2021) were randomly assigned to an experimental group (case-based learning + ChatGPT, n = 49) or a control group (traditional lecture-based teaching, n = 49).

n = 49
89.8%
Results
89.8%
students taught with ChatGPT case discussions who said they were satisfied overall
n = 49
More results

Recognition rates across all seven evaluation dimensions, including interactivity, immediate feedback, and clinical relevance, were significantly higher in the experimental group (all P < 0.05).

More results

Subgroup analysis demonstrated that students with weaker academic foundations benefited most from the intervention, showing the greatest improvement in scores (+12.3 points, P < 0.01).

“
Conclusion · 1 of 2

The case-based learning teaching model integrated with ChatGPT significantly improves both objective learning outcomes and subjective satisfaction in ophthalmology clinical education, particularly among students with weaker academic foundations.

Conclusion · 2 of 2

This teaching approach demonstrates substantial potential for broader implementation in medical education.

Read paper
0 comments

No comments yet. Be the first.

Related papers

LatestFoundational
AI / Informatics
0·962 for OCT
MerMED-FM was very accurate at diagnosing diseases using eye scans
AI / Informatics
0.98
Artificial intelligence's eyelid-height measurements matched doctors' manual measurements almost perfectly
AI / Informatics
92.1%
combining eye scans and photos correctly told benign from cancerous lesions apart nearly every time
Cohort Study
28.6%
recurred locally in more than 1 in 4 patients over years of follow-up
Cohort Study
-0.395
excision group's post-op eyelid fullness score was lower - greater improvement
Cohort Study
86.7%
of infants probed after 12 months still had unresolved tear duct blockage
Observational
16%
eyelid tissue in rosacea patients showed less of this key repair-signaling protein inside cell nuclei
Cohort Study
25%
about 1 in 4 treated cases had symptoms return after improving