The Global Reach of Artificial Intelligence in Atopic Dermatitis Supplementary Dataset

Name: The Global Reach of Artificial Intelligence in Atopic Dermatitis Supplementary Dataset
Creator: Pranvera Sulejmani
Published: 2024-09-10T06:35:03.124Z
Keywords: Artificial Intelligence, Machine Learning, Atopic Dermatitis, Eczema, ChatGPT

Sulejmani, Pranvera; Negris , Olivia; Aoki, Valeria; Aubert, Helene; Chu, Chia-Yu; Deleuran, Mette; El Hachem, May; Eichenfield, Lawrence; Mosca, Ana; Orfali, Raquel Leão; Saint Aroman, Marketa; Stalder, Jean-Francois; Taieb, Alain; Torrelo, Antonio; Troya, David; Trzeciak, Magdalena; Vesttergaard, Christian; Wollenberg, Andreas; Lio, Peter

doi:10.17632/hxmm3xd8zf.1

The Global Reach of Artificial Intelligence in Atopic Dermatitis Supplementary Dataset

Published: 10 September 2024| Version 1 | DOI: 10.17632/hxmm3xd8zf.1

Contributors:

Pranvera Sulejmani, Olivia Negris , Valeria Aoki, Helene Aubert, Chia-Yu Chu, Mette Deleuran, May El Hachem, Lawrence Eichenfield, Ana Mosca, Raquel Leão Orfali, Marketa Saint Aroman, Jean-Francois Stalder, Alain Taieb, Antonio Torrelo, David Troya, Magdalena Trzeciak, Christian Vesttergaard, Andreas Wollenberg, Peter Lio

Description

This dataset features 101 commonly asked questions from atopic dermatitis (AD) patients and the corresponding scores assigned to ChatGPT-4's generated responses. The responses were evaluated across eight languages: Traditional Chinese, German, Danish, French, Spanish, Polish, Italian, and Brazilian Portuguese. Dermatologists proficient in these languages assessed the responses based on accuracy, depth, completeness, and clinical relevance. Each evaluation was conducted using a 5-point Likert scale, where 1 indicates strong disagreement and 5 indicates strong agreement with the quality of the response.

The Global Reach of Artificial Intelligence in Atopic Dermatitis Supplementary Dataset

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