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Research Letter (200) E-Dermatology (58) Chatbots and Conversational Agents (1236) Artificial Intelligence (5019) Theme Issue: AI and ChatGPT in Dermatology (53) Generative Language Models Including ChatGPT (1635)

Published on in Vol 6 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49280, first published .
Close-up of a humanoid robot's face looking at screens with data.

Evaluation of ChatGPT Dermatology Responses to Common Patient Queries

Evaluation of ChatGPT Dermatology Responses to Common Patient Queries

Authors of this article:

Alana L Ferreira1 Author Orcid Image ;   Brian Chu1 Author Orcid Image ;   Jane M Grant-Kels2, 3 Author Orcid Image ;   Temitayo Ogunleye1 Author Orcid Image ;   Jules B Lipoff4 Author Orcid Image
Article Authors Cited by (33) Tweetations (2) Metrics

Journals

  1. Rosselló-Jiménez D, Docampo S, Collado Y, Cuadra-Llopart L, Riba F, Llonch-Masriera M. Geriatrics and artificial intelligence in Spain (Ger-IA project): talking to ChatGPT, a nationwide survey. European Geriatric Medicine 2024;15(4):1129 View
  2. Lambert R, Choo Z, Gradwohl K, Schroedl L, Ruiz De Luzuriaga A. Assessing the Application of Large Language Models in Generating Dermatologic Patient Education Materials According to Reading Level: Qualitative Study. JMIR Dermatology 2024;7:e55898 View
  3. Thirunavukarasu A. How Can the Clinical Aptitude of AI Assistants Be Assayed?. Journal of Medical Internet Research 2023;25:e51603 View
  4. Kooper-Johnson S, Kodumudi V, Wang K, Kasthuri V, Nguyen B. People Also Ask: What Do Internet Users Want to Know About Mohs Surgery, and What Can Artificial Intelligence Tell Them?. Dermatologic Surgery 2024;50(9):878 View
  5. Brochu B, Mirsky N, Thaller S. Evaluating ChatGPT’s efficacy in addressing common patient questions in plastic surgery consultations. Artificial Intelligence Surgery 2024;4(4):411 View
  6. Goktas P, Grzybowski A. Assessing the Impact of ChatGPT in Dermatology: A Comprehensive Rapid Review. Journal of Clinical Medicine 2024;13(19):5909 View
  7. Cassar P, Galea F, Ferry P. Evaluating the Clinical Decision-Making Accuracy of Artificial Intelligence in Common Geriatric Syndromes Using Evidence-Based Guidelines. Cureus 2026 View
  8. Chen R, Nguyen D, Fettel K, Nahm W, Sakunchotpanit G, Lee S, Nayudu K, Nambudiri V. Diagnostic accuracy of ChatGPT in dermatology: A meta-analysis of textual versus visual prompts. Journal of the American Academy of Dermatology 2025 View
  9. Kooper-Johnson S, Lim S, Aldhalaan J, Cobos G, Kodumudi V, Loo D, Mervis J, Petrillo M, Robinson S, Nguyen B. Image Generation of Common Dermatological Diagnoses by Artificial Intelligence: Evaluation Study of the Potential for Education and Training Purposes. JMIR Dermatology 2025;8:e72371 View
  10. Grossman S, Zerilli T, Nathan J. Appropriateness of ChatGPT as a resource for medication‐related questions. British Journal of Clinical Pharmacology 2024;90(10):2691 View
  11. Khamaysi Z, Awwad M, Jiryis B, Bathish N, Shapiro J. The Role of ChatGPT in Dermatology Diagnostics. Diagnostics 2025;15(12):1529 View
  12. Guven Y, Ozdemir O, Kavan M. Performance of Artificial Intelligence Chatbots in Responding to Patient Queries Related to Traumatic Dental Injuries: A Comparative Study. Dental Traumatology 2025;41(3):338 View
  13. Naldi L, Bettoli V, Santoro E, Valetto M, Bolzon A, Cassalia F, Cazzaniga S, Cima S, Danese A, Emendi S, Ponzano M, Scarpa N, Dri P. Application of ChatGPT as a content generation tool in continuing medical education: acne as a test topic. Dermatology Reports 2024;17(2) View
  14. Güneş Y, Ülkir M. Comparative Performance Evaluation of Multimodal Large Language Models, Radiologist, and Anatomist in Visual Neuroanatomy Questions. Uludağ Üniversitesi Tıp Fakültesi Dergisi 2025;50(3):551 View
  15. Busch F, Hoffmann L, Rueger C, van Dijk E, Kader R, Ortiz-Prado E, Makowski M, Saba L, Hadamitzky M, Kather J, Truhn D, Cuocolo R, Adams L, Bressem K. Current applications and challenges in large language models for patient care: a systematic review. Communications Medicine 2025;5(1) View
  16. Pillai A, Parappally-Joseph S, Kreutz J, Traboulsi D, Gandhi M, Hardin J. Evaluating the Diagnostic and Treatment Capabilities of GPT-4 Vision in Dermatology: A Pilot Study. Journal of Cutaneous Medicine and Surgery 2025;29(6):570 View
  17. Gupta A, Economopoulos V. Artificial Intelligence and Large Language Models in the Fight Against Superficial Fungal Infections: Friend or Foe?. Clinical, Cosmetic and Investigational Dermatology 2025;Volume 18:1959 View
  18. Sallam M, Barakat M, Sallam M. A Preliminary Checklist (METRICS) to Standardize the Design and Reporting of Studies on Generative Artificial Intelligence–Based Models in Health Care Education and Practice: Development Study Involving a Literature Review. Interactive Journal of Medical Research 2024;13:e54704 View
  19. Arza A, Lebhar J, Lipoff J. Applications of Artificial Intelligence in Dermatology. Dermatologic Clinics 2025;43(4):529 View
  20. Verran C. Artificial intelligence-generated patient information leaflets: a comparison of contents according to British Association of Dermatologists standards. Clinical and Experimental Dermatology 2024;49(7):711 View
  21. Bettoli V, Naldi L, Santoro E, Valetto M, Bolzon A, Cassalia F, Cazzaniga S, Cima S, Danese A, Emendi S, Ponzano M, Scarpa N, Dri P. ChatGPT and acne: Accuracy and reliability of the information provided—The AI‐check study. Journal of the European Academy of Dermatology and Venereology 2025;39(4) View
  22. Marchi F, Bellini E, Iandelli A, Sampieri C, Peretti G. Exploring the landscape of AI-assisted decision-making in head and neck cancer treatment: a comparative analysis of NCCN guidelines and ChatGPT responses. European Archives of Oto-Rhino-Laryngology 2024;281(4):2123 View
  23. Todorov D, Park J, Hing Cheung J, Avramidou E, Gnanappiragasam D. Assessing the readability of dermatological patient information leaflets generated by ChatGPT-4 and its associated plugins. Skin Health and Disease 2025;5(1):14 View
  24. Patil N, Dhua A, Kumar B, Jain V, Goel P, Yadav D, Divya G. Evaluating Artificial Intelligence Conversational Platforms for Parental Queries on Antenatal Hydronephrosis: A Comparative Blinded Assessment. Journal of Indian Association of Pediatric Surgeons 2026;31(2):214 View
  25. Ulutaş Demirbas G, Diremsizoglu E, Demirbas A. Evaluating the quality of artificial intelligence responses to psoriasis-related clinical and patient questions: a comparative study of ChatGPT, Gemini, and Microsoft Copilot. Baylor University Medical Center Proceedings 2026;39(5):837 View
  26. Francis S, Temiz L, Albers S. The Triple A Effect: Why Dermatologists Must Lead Acne, Algorithms, and Adolescence in Shaping the Digital Skincare Narrative. SKIN The Journal of Cutaneous Medicine 2026;10(4):3242 View
  27. Uçar M, Bostan E, Ortabağ T, Dönmez E. Comparative Evaluation of ChatGPT-5.2, Claude Sonnet 4.5, and DeepSeek-V3.2 for Rosacea-Related Information: Accuracy, Reliability, Readability, and Reference Hallucinations. Diagnostics 2026;16(16):2620 View
  28. Caf N, Özkoca D, Üstünbaş Uzunçakmak T, Kutlubay Z. How appropriate are ChatGPT-5’s answers to acne questions?. Medicine 2026;105(38):e50664 View
  29. Bal Avcı E, Dağtaş B, İlhan Erdil D, Erdem O, Salman A, Korkmaz S, Sarıkaya Solak S. Quality and Readability of ChatGPT and Gemini Responses to Patient Questions About Systemic Isotretinoin: Comparative Evaluation Study (Preprint). JMIR Dermatology 2026 View
  30. Almomani M, Almomani B, Al-Qudah H, Abed Alrahman R, El-bawaneh S, Hawari S, Alqudah A. Assessing the accuracy of ChatGPT responses to caregiver questions in pediatric neurology: an observational study. Scientific Reports 2026;16(1) View

Books/Policy Documents

  1. Jeslin Shanthamalar J, Prateesh Kumar S, Abishin J, Sekharan S, Malar Selvi G. ICT Systems and Sustainability. View
  2. W. Perlmutter J, Joseph M. Medical Education in the Age of Digital Transformation. View

Conference Proceedings

  1. Zhao H, Li W, Qin Z, Ji G, Liu Y, Gedeon T, Barnes N. 2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). DermEVAL: A Dermatologist-Reviewed Benchmark for Multimodal Large Language Models View