ArticleIndian dermatology online journal
Using ChatGPT for Writing Articles for Patients' Education for Dermatological Diseases: A Pilot Study.
Article in Indian dermatology online journal. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.
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Who cites it
41 citing papers in PubMed.
- Rethinking Pediatric Asthma Education Through Large Language Model Generation and Simplification: Randomized Double-Blind Study.Journal of medical Internet research · 2026Trial
- ChatGPT-Generated Advice on Sun Protection and Skin Cancer Prevention Compared to American Academy of Dermatology Guidelines: Cross-Sectional Content Analysis.JMIR dermatology · 2026Article
- Comparing the readability of online patient education materials for LASIK and cataract surgery.International ophthalmology · 2026Article
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- Large Language Models: Pioneering New Educational Frontiers in Childhood Myopia.Ophthalmology and therapy · 2025Article
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- Evaluating ChatGPT-4's Performance in Identifying Radiological Anatomy in FRCR Part 1 Examination Questions.The Indian journal of radiology & imaging · 2025Article
- Assessing the Capability of Large Language Model Chatbots in Generating Plain Language Summaries.Cureus · 2025Article
- Is your curriculum GenAI-proof? A method for GenAI impact assessment and a case study.MedEdPublish (2016) · 2025Article
- Exploring Radiology Postgraduate Students' Engagement with Large Language Models for Educational Purposes: A Study of Knowledge, Attitudes, and Practices.The Indian journal of radiology & imaging · 2025Article
- Artificial Intelligence and Large Language Models in the Fight Against Superficial Fungal Infections: Friend or Foe?Clinical, cosmetic and investigational dermatology · 2025Review
- Both English- and Spanish-Language Anterior Cruciate Ligament Reconstruction Online Patient Education Materials Are Written at Higher-Than-Recommended Reading Levels.Arthroscopy, sports medicine, and rehabilitation · 2024Article
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- Assessing the Impact of ChatGPT in Dermatology: A Comprehensive Rapid Review.Journal of clinical medicine · 2024Review
- Advancing Psoriasis Care through Artificial Intelligence: A Comprehensive Review.Current dermatology reports · 2024Article
- Performance of large language models (LLMs) in providing prostate cancer information.BMC urology · 2024Article
- Readability analysis of ChatGPT's responses on lung cancer.Scientific reports · 2024Article
- Assessing the Quality of ChatGPT's Dietary Advice for College Students from Dietitians' Perspectives.Nutrients · 2024Article
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3 authors.
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Abstract
Background: Patients' education is a vital strategy for understanding a disease by patients and proper management of the condition. Physicians and academicians frequently make customized education materials for their patients. An artificial intelligence (AI)-based writer can help them write an article. Chat Generative Pre-Trained Transformer (ChatGPT) is a conversational language model developed by OpenAI (openai.com). The model can generate human-like responses. Objective: We aimed to evaluate the generated text from ChatGPT for its suitability in patients' education. Materials and Methods: We asked the ChatGPT to list common dermatological diseases. It provided a list of 14 diseases. We used the disease names to converse with the application with disease-specific input (e.g., write a patient education guide on acne). The text was copied for checking the number of words, readability, and text similarity by software. The text's accuracy was checked by a dermatologist following the structure of observed learning outcomes (SOLO) taxonomy. For the readability ease score, we compared the observed value with a score of 30. For the similarity index, we compared the observed value with 15% and tested it with a one-sample Results: The ChatGPT generated a paragraph of text of 377.43 ± 60.85 words for a patient education guide on skin diseases. The average text reading ease score was 46.94 ± 8.23 ( Conclusion: In its current form, ChatGPT can generate a paragraph of text for patients' educational purposes that can be easily understood. However, the similarity index is high. Hence, doctors should be cautious when using the text generated by ChatGPT and must check for text similarity before using it.
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