Assessing the Accuracy and Comprehensiveness of ChatGPT in Offering Clinical Guidance for Atopic Dermatitis and Acne Vulgaris
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LLM responses to common questions around AD were overall mostly acceptable but otherwise incomplete or deviated from evidence-based medicine.
“Two studies assessed LLM responses to common questions around AD, overall finding answers to be mostly acceptable but otherwise incomplete or deviated from evidence-based medicine (Lakdawala et al, 2023;Sulejmani et al, 2024).”
From Artificial intelligence–enabled precision medicine for inflammatory skin diseases (2026) · cites this paper as Lakdawala et al, 2023
ChatGPT's responses to patient questions around acne had lower accuracy for acne treatment responses.
“Lakdawala et al (2023) investigated ChatGPT’s responses to patient questions around acne, identifying lower accuracy responses concerning acne treatment.”
From Artificial intelligence–enabled precision medicine for inflammatory skin diseases (2026) · cites this paper as Lakdawala et al, 2023
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Cites
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- Authors
- Lakdawala, N., Channa, L., Gronbeck, C., Lakdawala, N., Weston, G., Sloan, B., & Feng, H.
- Affiliations
- University of Connecticut (US)
- UConn Health (US)
- Corresponding author
- Feng, Hao
- ORCID
- Venue
- JMIR Dermatology
- Publisher
- JMIR Publications Inc.
- Published
- 2023-11-14
- Volume
- 6
- Pages
- e50409
- ISSN
- 2562-0959 (ISSN-L)
- PMC
- PMC10685272
- OpenAlex
- W4388014955
- Cited by
- 32
- References
- 7
- Citations by year
- 2026: 7 · 2025: 11 · 2024: 14
- FWCI
- 1.28
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by
- Locations
- JMIR Dermatology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Medicine › Dermatology › Dermatology and Skin Diseases
- Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
- Keywords
- ChatGPT, large language models, atopic dermatitis, acne, clinical guidance, AI accuracy
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