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

Research Letter (110) E-Dermatology (17) Artificial Intelligence (2334) Theme Issue: AI and ChatGPT in Dermatology (25) Chatbots and Conversational Agents (784) Generative Language Models Including ChatGPT (802)

Published on in Vol 6 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49280, first published .
Evaluation of ChatGPT Dermatology Responses to Common Patient Queries

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 (25) 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

Books/Policy Documents

  1. Jeslin Shanthamalar J, Prateesh Kumar S, Abishin J, Sekharan S, Malar Selvi G. ICT Systems and Sustainability. View