The cost of AI sycophancy in dermoscopic diagnosis: Comment on "Framing bias in a large language model: Prompt framing influences ChatGPT's accuracy in melanoma classification. A diagnostic accuracy study".
- DOI
- 10.1016/j.jaad.2026.05.142
- Published
- 2026 Jul 28
- Container
- Journal of the American Academy of Dermatology
- Publisher
- Not recorded
- Open access
- unknown
Credibility signals
limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1016/j.jaad.2026.05.142,
title = {The cost of AI sycophancy in dermoscopic diagnosis: Comment on "Framing bias in a large language model: Prompt framing influences ChatGPT's accuracy in melanoma classification. A diagnostic accuracy study".},
author = {Nouyed MI and Adjeroh DA and Xu D and Kolodney MS and Hu G},
year = {2026},
journal = {Journal of the American Academy of Dermatology},
doi = {10.1016/j.jaad.2026.05.142},
url = {https://doi.org/10.1016/j.jaad.2026.05.142}
}RIS
TY - JOUR TI - The cost of AI sycophancy in dermoscopic diagnosis: Comment on "Framing bias in a large language model: Prompt framing influences ChatGPT's accuracy in melanoma classification. A diagnostic accuracy study". AU - Nouyed MI AU - Adjeroh DA AU - Xu D AU - Kolodney MS AU - Hu G PY - 2026 JO - Journal of the American Academy of Dermatology DO - 10.1016/j.jaad.2026.05.142 UR - https://doi.org/10.1016/j.jaad.2026.05.142 ER -
APA
MI, N., DA, A., D, X., MS, K., & G, H. (2026). The cost of AI sycophancy in dermoscopic diagnosis: Comment on "Framing bias in a large language model: Prompt framing influences ChatGPT's accuracy in melanoma classification. A diagnostic accuracy study".. Journal of the American Academy of Dermatology. https://doi.org/10.1016/j.jaad.2026.05.142
Source records
- pubmed · retrieved 2026-09-25T18:14:04.985Z