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Research Data for “Realism without Breadth: Hidden Bias in Artificial Intelligence Images of Infectious Dermatoses”
One-line summary
An AI research paper on Research Data for “Realism without Breadth: Hidden Bias in Artificial Intelligence Images of Infectious Dermatoses”.
Engineering notes
Engineering notes will be added by the aipentium editorial team.
Chinese explanation / 中文解读
中文解读待补充：本站会优先为大语言模型、生成式AI、ChatGPT相关技术、计算机视觉、深度学习等高价值论文补充中文说明。
Original abstract
**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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