Application of the AI Platform iLN Based on DeepSeek in the Teaching of Lupus Nephritis
Starting soon · Not applicable
Conditions studied: Learning
In brief
Aim: To evaluate the application effect of the teaching platform iLN in the teaching of lupus nephritis, aiming to provide practical experience and evidence-based support for the implementation of generative AI technology in professional medical education. Method: Based on the DeepSeek large language model, the investigators developed "iLN" - an interactive teaching platform for lupus nephritis. This platform integrates the latest authoritative textbooks, clinical guidelines, pathological atlases, and real clinical cases, and includes seven core modules, such as "case interaction", "knowledge teaching", and "AI question answering". The investigators conducted a randomized controlled trial (RCT) on 50 fourth-year undergraduate students from Nanjing University School of Medicine to evaluate the effectiveness of the iLN platform compared to traditional teaching methods. The teaching effect was evaluated through objective test scores and questionnaires about student satisfaction and platform usability.
Key facts
- Study ID
- NCT07706998
- Run by
- Nanjing University
- People needed
- 50
- Starts
- 2026-07-01
- Expected to finish
- 2026-12-31
- Last updated by the study team
- 2026-07-16
Who can join
Age: 18 and older. Sex: any. Healthy volunteers: not accepted.
You may qualify if…
- As a student majoring in clinical medicine
- Volunteering to participate in the study
You may not qualify if…
- Inability to understand, read, or communicate in Chinese
- Failure to participate in any stage of the study (e.g. in-class education session, or post-test)
- Requesting withdrawal from the study
Where it is running
- Nanjing university — Nanjing, Jiangsu, China
Full record on ClinicalTrials.gov
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