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Assessing the Suitability of ChatGPT and DeepSeek AI for Patient Education on Common Rheumatological Disorders
Amruth A Alluri1, Zakiya Khan2, V Krithika3
1Internal Medicine, American University of the Caribbean School of Medicine, Cupecoy, SXM.
Cureus
|September 23, 2025
Summary
Artificial intelligence tools like ChatGPT and Deepseek AI can generate patient education materials for rheumatological conditions. Both AI models showed similar effectiveness, but their output should complement, not replace, expert-reviewed resources.
Area of Science:
- Rheumatology
- Artificial Intelligence in Healthcare
- Medical Education
Background:
- Systemic lupus erythematosus (SLE), systemic sclerosis, and dermatomyositis are common rheumatological conditions.
- Artificial intelligence (AI) tools can enhance patient education, improving health literacy and treatment adherence.
Purpose of the Study:
- To compare the effectiveness of ChatGPT and DeepSeek AI in generating patient education guides for SLE, systemic sclerosis, and dermatomyositis.
- To assess understandability, accuracy, and reliability of AI-generated educational materials.
Main Methods:
- ChatGPT 4.0 and DeepSeek AI generated patient education guides for three rheumatological conditions.
- Materials were evaluated using readability scores (Flesch-Kincaid, grade level, ease), linguistic complexity, similarity metrics, and a reliability score (discern score).
Main Results:
- No significant differences were found between ChatGPT and DeepSeek AI in word count, sentence count, readability, linguistic complexity, similarity, or reliability.
- Both AI models produced comparable results across all assessed metrics.
Conclusions:
- ChatGPT and DeepSeek AI show potential for augmenting patient education in rheumatology.
- AI-generated content should be used as a supplement to, not a replacement for, verified, expert-reviewed educational materials.
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