Assessing the Impact of ChatGPT in Dermatology: A Comprehensive Rapid Review.

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

Who cites it

23 citing papers in PubMed.

1. 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 (Basel, Switzerland) · 2026
   Article
2. Divergent impacts of explainable AI for dermatological diagnosis on clinicians versus lay people.Nature medicine · 2026
   Article
3. ChatGPT-Generated Advice on Sun Protection and Skin Cancer Prevention Compared to American Academy of Dermatology Guidelines: Cross-Sectional Content Analysis.JMIR dermatology · 2026
   Article
4. Can Artificial Intelligence Support Patient Education in Scabies? A Comparative Analysis of Large Language Model Responses.Healthcare (Basel, Switzerland) · 2026
   Article
5. Perspectives on Artificial Intelligence in Dermatology: An International Cross-Sectional Study.Medicina (Kaunas, Lithuania) · 2026
   Article
6. Assessing public interest in artificial intelligence in dermatology: A Google Trends analysis.JID innovations : skin science from molecules to population health · 2026
   Article
7. Preferences of Chinese Dermatologists for Large Language Model Responses in Clinical Psoriasis Scenarios: A Nationwide Cross-Sectional Survey in China.Health care science · 2026
   Article
8. Implementing GPT-4 Learning Models in Dermatology: An Assessment of Medical Quality and Utility.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2026
   Article
9. Comparison of the accuracy and reliability of ChatGPT-4o and Gemini in answering HIV-related questions.BMC infectious diseases · 2025
   Article
10. One Step Closer to Conversational Medical Records: ChatGPT Parses Psoriasis Treatments from EMRs.Journal of clinical medicine · 2025
    Article
11. A Meta-Analysis of ChatGPT's Performance on Dermatology Specialty-Level (Board-Style) Certification Questions.Indian dermatology online journal · 2025
    Article
12. Exploring AI's Potential in Papilledema Diagnosis to Support Dermatological Treatment Decisions in Rural Healthcare.Diagnostics (Basel, Switzerland) · 2025
    Article
13. Informing a Position Statement on the Use of Large Language Models and AI Scribes in Dermatology in Australia.The Australasian journal of dermatology · 2025
    Review
14. Large language models versus traditional textbooks: optimizing learning for plastic surgery case preparation.BMC medical education · 2025
    Article
15. A bibliometric analysis of large language model-based AI chatbots in surgery.Annals of medicine and surgery (2012) · 2025
    Review
16. The Role of ChatGPT in Dermatology Diagnostics.Diagnostics (Basel, Switzerland) · 2025
    Review
17. Case Reports and Artificial Intelligence Challenges on Squamous Cell Carcinoma Developed on Chronic Radiodermitis.Journal of clinical medicine · 2025
    Article
18. The Performance of AI in Dermatology Exams: The Exam Success and Limits of ChatGPT.Journal of cosmetic dermatology · 2025
    Article
19. Shaping the Future of Healthcare: Ethical Clinical Challenges and Pathways to Trustworthy AI.Journal of clinical medicine · 2025
    Article
20. Artificial intelligence in personalized nutrition and food manufacturing: a comprehensive review of methods, applications, and future directions.Frontiers in nutrition · 2025
    Review

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

Authors and funding

2 authors.

Funding

No grant is acknowledged in the PubMed record.

Abstract

PubMed holds no abstract for this paper.

Indexed as