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README.md
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While medical imaging datasets provide valuable visual information, generating accurate diagnostic descriptions requires expert knowledge. To address this, we adopt a vision-language model approach using GPT-4V for synthesizing detailed radiological reports and diagnostic annotations. GPT-4V provides state-of-the-art multimodal understanding capabilities at reasonable cost compared to domain-specific medical AI systems.
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*Due to patient privacy requirements and institutional review board (IRB) protocols, we only release the ChestXR subset (this page) of the full MedVis dataset.
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While medical imaging datasets provide valuable visual information, generating accurate diagnostic descriptions requires expert knowledge. To address this, we adopt a vision-language model approach using GPT-4V for synthesizing detailed radiological reports and diagnostic annotations. GPT-4V provides state-of-the-art multimodal understanding capabilities at reasonable cost compared to domain-specific medical AI systems.
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*Due to patient privacy requirements and institutional review board (IRB) protocols, we only release the ChestXR subset (this page) of the full MedVis dataset.
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**License**
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The license for this dataset is CC0.
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