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To explore the possibilities of artificial intelligence (AI) text-to-picture system, DALL·E 2 was used to generated clinical photographs for medical and plastic surgery education. Generic English text was used to guide AI in three categories: subcutaneous tumor, wound and skin tumor. The most clinically accurate images were chosen for the article or for further editing. AI-generated images with variating clinical accuracy in different categories. The most accurate images were the soft-tissue tumors and the least accurate wounds. This study showed that AI text-to-picture system might be worthy tool for medical education.
Virve Koljonen (Wed,) studied this question.
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