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                <identifier>oai:data.mendeley.com/j2t89njrft.1</identifier>
                <datestamp>2024-01-12T12:14:17Z</datestamp>
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    <dc:creator>Shifai, Naweed</dc:creator>
    <dc:title>Can ChatGPT Vision Diagnose Melanoma? An Exploratory Diagnostic Accuracy Study - Supplemental material</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>- Mendeley Supplemental Table 1. Raw study data Including ISIC image ID, Histopathologically Confirmed Diagnosis, Top-3 Differential Diagnoses by ChatGPT Plus, and corresponding Top-1 and Top-3 diagnoses evaluations (0=No, 1=Yes).
- Mendeley Supplemental Figure 1. Representative examples of images from the dataset.
- Mendeley Supplemental Figure 2. Examples of images of falsely diagnosed pigmented lesions by ChatGPT Vision.
</dc:description>
    <dc:subject>Artificial Intelligence</dc:subject>
    <dc:subject>Dermatology</dc:subject>
    <dc:subject>Artificial Intelligence Diagnostics</dc:subject>
    <dc:subject>Melanoma</dc:subject>
    <dc:subject>Nevus</dc:subject>
    <dc:subject>ChatGPT</dc:subject>
    <dc:contributor>van Doorn, Remco </dc:contributor>
    <dc:contributor>Malvehy, Josep</dc:contributor>
    <dc:contributor>Sangers, Tobias</dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/j2t89njrft.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/j2t89njrft.1</dc:identifier>
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