Research Data for “Realism without Breadth: Hidden Bias in Artificial Intelligence Images of Infectious Dermatoses”

Published: 19 August 2026| Version 2 | DOI: 10.17632/mf8bxnkmcw.2
Contributors:
AHMET UĞUR ATILAN, Niyazi Çetin,

Description

**Research Data 1 – Gemini 3 Pro (Nano Banana) outputs** Complete set of AI-generated dermatological images produced using Gemini 3 Pro (Nano Banana) across the prespecified diseases and Fitzpatrick skin-type strata. **Research Data 2 – DALL-E 3 (ChatGPT 5.3) outputs** Complete set of AI-generated dermatological images produced using ChatGPT 5.3 (DALL-E 3) across the prespecified diseases and Fitzpatrick skin-type strata. **Research Data 3 – Evaluation Framework and Statistical Analysis** Detailed description of the image-evaluation framework, scoring domains, operational definitions, rater procedures, inter-rater agreement assessment, and statistical analysis methods used in the study. **Research Data 4 – Blinded Rater Scores** Complete blinded image-level scores assigned independently by the two dermatologists across all predefined evaluation domains.

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Categories

Dermatology, Image Acquisition, Syphilis, Scabies, Large Language Model

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