The complex ethics of applying ChatGPT and language model artificial intelligence in dermatology
Open accessThe claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
There is a noticeable demand for ethical guidelines in the literature surrounding healthcare applications of LLMs.
“Consequently, there is a noticeable demand for ethical guidelines, as evidenced within the literature surrounding healthcare applications of LLMs46,60,64,70,71,74,75,78.”
From The ethics of ChatGPT in medicine and healthcare: a systematic review on large language models (LLMs) (2024) · cites this paper as [78]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Data preprocessing techniques for classification without discrimination
Kamiran, F., & Calders, T. (2012) · Knowledge and Information Systems · doi:10.1007/s10115-011-0463-8 · Cited by 1,305 · see citing works
Daneshjou, R., Smith, M. P., Sun, M. D., Rotemberg, V., & Zou, J. (2021) · JAMA Dermatology · doi:10.1001/jamadermatol.2021.3129 · Cited by 403 · see citing works
Consulting ChatGPT: Ethical dilemmas in language model artificial intelligence
Beltrami, E. J., & Grant-Kels, J. M. (2024) · Journal of the American Academy of Dermatology · doi:10.1016/j.jaad.2023.02.052 · Cited by 51 · see citing works
Commentary: Position statement on augmented intelligence (AuI)
Kovarik, C., Lee, I., Ko, J., Adamson, A. S., Otley, C. C., Kvedar, J. C., Vedak, P., Huang, S. S., Fitzgerald, M., & Chaudhari, R. (2019) · Journal of the American Academy of Dermatology · doi:10.1016/j.jaad.2019.06.032 · Cited by 42 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Haltaufderheide, J., & Ranisch, R. (2024) · npj Digital Medicine · doi:10.1038/s41746-024-01157-x · Cited by 396 · see citing works
Embracing ChatGPT for Medical Education: Exploring Its Impact on Doctors and Medical Students
Wu, Y., Zheng, Y., Feng, B., Yang, Y., Kang, K., & Zhao, A. (2024) · JMIR Medical Education · doi:10.2196/52483 · Cited by 92 · see citing works
Ethical considerations for artificial intelligence in dermatology: a scoping review
Gordon, E. R., Trager, M. H., Despina Kontos, B., Weng, C., Geskin, L. J., Dugdale, L. S., & Samie, F. H. (2024) · British Journal of Dermatology · doi:10.1093/bjd/ljae040 · Cited by 91 · see citing works
Chauhan, A., Khaliq, F., & Nayak, K. R. (2025) · International Journal of Artificial Intelligence in Education · doi:10.1007/s40593-025-00471-z · Cited by 23 · see citing works
Triantafyllopoulos, L., Feretzakis, G., Tzelves, L. I., Sakagianni, A., Verykios, V. S., & Kalles, D. (2024) · Computers in Human Behavior · doi:10.1016/j.chb.2024.108404 · Cited by 20 · see citing works
Ethics of Artificial Intelligence and Robotics: Key Issues and Modern Ways to Solve Them
Yadav, N. (2023) · Journal of Digital Technologies and Law · doi:10.21202/jdtl.2023.41 · Cited by 20 · see citing works
McCrary, M. R., Galambus, J., & Chen, W. (2024) · Journal of Cutaneous Pathology · doi:10.1111/cup.14631 · Cited by 12 · see citing works
Quantum leap in medical mentorship: exploring ChatGPT’s transition from textbooks to terabytes
Chokkakula, S., Chong, S., Yang, B., Jiang, H., Yu, J., Han, R., Attitalla, I. H., Yin, C., & Zhang, S. (2025) · Frontiers in Medicine · doi:10.3389/fmed.2025.1517981 · Cited by 12 · see citing works
ChatGPT: performance of artificial intelligence in the dermatology specialty certificate examination
Jabour, T. B. F., Júnior, J. P. R., Fernandes, A. C., Honorato, C. M. A., & Queiroz, M. D. C. A. P. (2023) · Anais Brasileiros de Dermatologia · doi:10.1016/j.abd.2023.08.005 · Cited by 11 · see citing works
Social Dangers of Generative Artificial Intelligence: Review and Guidelines
Yang, A., & Yang, T. A. (2024) · Annual International Conference on Digital Government Research · doi:10.1145/3657054.3664243 · Cited by 10 · see citing works
ChatGPT in dermatology: exploring the limited utility amidst the tech hype
Zhang, Z., Zhang, J., Duan, L., & Tan, C. (2024) · Frontiers in Medicine · doi:10.3389/fmed.2023.1308229 · Cited by 10 · see citing works
The use of ChatGPT in the dermatological field: a narrative review
Potestio, L., Feo, F., Martora, F., Megna, M., Napolitano, M., & D’Agostino, M. (2024) · Clinical and Experimental Dermatology · doi:10.1093/ced/llae546 · Cited by 5 · see citing works
Applications of Artificial Intelligence in Dermatology
Arza, A., Lebhar, J., & Lipoff, J. B. (2025) · Dermatologic Clinics · doi:10.1016/j.det.2025.05.003 · Cited by 4 · see citing works
Self-citationLopezosa, C., & Goyanes, M. (2024) · Anuario ThinkEPI · doi:10.3145/thinkepi.2024.e18a19 · Cited by 2 · see citing works
Letter from the editor: Artificial intelligence and medical writing
Elston, D. M. (2024) · Journal of the American Academy of Dermatology · doi:10.1016/j.jaad.2024.04.016 · Cited by 2 · see citing works
Sinivas, P., Deepa, G., & Prasad, M. S. G. (2026) · AIP conference proceedings · doi:10.1063/5.0341864
Wei, Y., Xu, H., & Hu, Y. (2026) · Frontiers in Medicine · doi:10.3389/fmed.2026.1875075
Yap, C. H. J., & Lim, Z. V. (2026) · Annals of the Academy of Medicine Singapore · doi:10.47102/annals-acadmedsg.2026346
- Authors
- Ferreira, A. L., & Lipoff, J. B.
- Affiliations
- University of Pennsylvania (US)
- Temple University (US)
- Corresponding author
- Lipoff, Jules B.
- ORCID
- Lipoff, Jules B.
- Venue
- Journal of the American Academy of Dermatology
- Publisher
- Elsevier BV
- Published
- 2023-10
- Volume
- 89
- Issue
- 4
- Pages
- e157-e158
- ISSN
- 0190-9622 (ISSN-L)
- OpenAlex
- W4378839436
- Cited by
- 18
- References
- 4
- Citations by year
- 2026: 3 · 2025: 3 · 2024: 10 · 2023: 2
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of the American Academy of Dermatology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Physical Sciences › Computer Science › Artificial Intelligence › Explainable Artificial Intelligence (XAI)
- Keywords
- ChatGPT, generative AI, dermatology, AI ethics, algorithmic bias, informed consent, patient privacy, data security, accountability
- MeSH terms
- Artificial Intelligence, Dermatology, Humans
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review