Published on in Vol 7 (2024)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/55204, first published
.

Journals
- Aghajani M, Maye E, Burrell K, Kok C, Frew J. Evaluating the quality and readability of online information about hidradenitis suppurativa: a systematic review. Clinical and Experimental Dermatology 2025;50(10):1937 View
- Seivright J, Wongvibulsin S, Ghanshani R, Lee K. Digital Innovations in Hidradenitis Suppurativa: A Narrative Review. Current Dermatology Reports 2025;14(1) View
- Bostan E, Uçar M, Dönmez E. Evaluation of the Accuracy, Reliability, Quality, and Readability of Artificial Intelligence Chatbots-Generated Responses to Acne-Related Questions. Turkish Journal of Dermatology 2025;19(4):235 View
- Olszewski R, Brzeziński J, Watros K, Rysz J. Quantifying Readability in Chatbot-Generated Medical Texts Using Classical Linguistic Indices: A Review. Applied Sciences 2026;16(3):1423 View
- Ryu G, Hwang G, Lee C, Johnson T. The Use of Artificial Intelligence to Improve Readability and Quality of Informed Consent Forms in Plastic and Reconstructive Surgery. Archives of Plastic Surgery 2026 View
Books/Policy Documents
- Leung A, Marquez-Grap G, Kranyak A, Liao W. Clinical Cases in Hidradenitis Suppurativa. View
Conference Proceedings
- Ward A. 2025 34th Annual Conference of the European Association for Education in Electrical and Information Engineering (EAEEIE). GenAI and Writing Age – Can we use it in detection of use? View
