This paper is in the following e-collection/theme issue:

Theme Issue: AI and ChatGPT in Dermatology (24) Natural Language Processing (917) New Methods and Approaches in Medical Education (373) Testing and Assessment in Medical Education (91) Generative Language Models Including ChatGPT (707) Chatbots and Conversational Agents (740) Dermatology (68)

Published on in Vol 7 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55898, first published .
Assessing the Application of Large Language Models in Generating Dermatologic Patient Education Materials According to Reading Level: Qualitative Study

Assessing the Application of Large Language Models in Generating Dermatologic Patient Education Materials According to Reading Level: Qualitative Study

Assessing the Application of Large Language Models in Generating Dermatologic Patient Education Materials According to Reading Level: Qualitative Study

Authors of this article:

Raphaella Lambert1 Author Orcid Image ;   Zi-Yi Choo1 Author Orcid Image ;   Kelsey Gradwohl2 Author Orcid Image ;   Liesl Schroedl2 Author Orcid Image ;   Arlene Ruiz De Luzuriaga2 Author Orcid Image
Article Authors Cited by (20) Tweetations (3) Metrics

Journals

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  2. Oliva A, Pasick L, Hoffer M, Rosow D. Improving readability and comprehension levels of otolaryngology patient education materials using ChatGPT. American Journal of Otolaryngology 2024;45(6):104502 View
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  6. Altınöz Güney C, Koç H. Online Pemphigus Information Evaluation: Quality, Reliability, Readability, and Comprehensiveness. Turkish Journal of Dermatology 2024;18(4):130 View
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  8. Biswas S, Achar U, Hakim B, Achar A. Artificial Intelligence in Dermatology: A Systematized Review. International Journal of Dermatology and Venereology 2025;8(1):33 View
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  10. Liu X, Zou Y, Liu Q, Wang Z, Kim M, Jun T, Huang Y, Guo L, Jiang X. Large Language Models in Dermatology: A Systematic Review of Applications, Challenges, and Future Directions (Preprint). Journal of Medical Internet Research 2025 View
  11. Tay J, Chow D, Lim Y, Ng E. Enhancing patient-centered information on implant dentistry through prompt engineering: a comparison of four large language models. Frontiers in Oral Health 2025;6 View
  12. van Eerde A, Teixeira A, Galletti F, Maternik M, Capone V, Westland R, Mulder J, Halbritter J, Osterholt T, Neukel V, Weber L, Liebau M, Schaefer F, Kohl S. Risks and benefits of ChatGPT in informing patients and families with rare kidney diseases: an explorative assessment by the European Rare Kidney Disease Reference Network (ERKNet). Pediatric Nephrology 2025;40(9):2899 View
  13. Radó N, Németh O, Békási S. Co-Design of a Health Screening Program Fact Sheet by People Experiencing Homelessness and ChatGPT: Focus Group Study. JMIR Formative Research 2025;9:e68316 View
  14. Khamaysi Z, Awwad M, Jiryis B, Bathish N, Shapiro J. The Role of ChatGPT in Dermatology Diagnostics. Diagnostics 2025;15(12):1529 View
  15. Tamer F, Polat M. Does ChatGPT help patients access reliable and comprehensive information about psoriasis?. Baylor University Medical Center Proceedings 2025;38(5):658 View
  16. AlSammarraie A, Al-Saifi A, Kamhia H, Aboagla M, Househ M. Development and evaluation of an agentic LLM based RAG framework for evidence-based patient education. BMJ Health & Care Informatics 2025;32(1):e101570 View
  17. Li X, Zhang Y, Zheng T, Deng Y, Lu Y, Hu J, Chen S, Li Y, Wang K. Using large language models to generate child-friendly education materials on myopia. DIGITAL HEALTH 2025;11 View
  18. Huang I, Chan T, Cho Y, Kuo Y, Yu Y, Cheng P, Chen Y, Chu C. The efficacy of ChatGPT: Responding to atopic dermatitis patient inquiries in traditional Chinese using a generative artificial intelligence model. Dermatologica Sinica 2025;43(3):164 View
  19. Duan L, Li T, Li B, Li X, Fu D, Yang X, Cao K, Cai H. Application of large language models to natural language processing and image analysis tasks in dermatology: a systematic review. Intelligent Medicine 2025 View
  20. Gondode P, Bhoi D, Kumar S, Singh R, Duggal S, Shanker D, Kumar S. Debunking Myths and Patient Education About Complex Regional Pain Syndrome Using Popular Generative Artificial Intelligence Chatbots. A&A Practice 2025;19(11):e02070 View