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Application of the AI Platform iLN Based on DeepSeek in the Teaching of Lupus Nephritis
Sponsor: Nanjing University
Summary
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 Details
Gender
All
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
50
Start Date
2026-07-01
Completion Date
2026-12-31
Last Updated
2026-07-16
Healthy Volunteers
No
Conditions
Interventions
An iLN interactive teaching platform
An iLN interactive teaching platform for lupus nephritis based on the DeepSeek large language model and by integrating the latest authoritative textbooks, guidelines, and clinical pathology materials.
PPT
Adopted the traditional PowerPoint (PPT) lecture mode. The instructor used uniformly prepared PPT courseware to sequentially lecture on the SLE overview, LN clinical manifestations, laboratory tests, pathological classification, diagnostic criteria, treatment plans, and prognosis evaluation. The courseware included static pathological and clinical manifestation images.
Locations (1)
Nanjing university
Nanjing, Jiangsu, China