What could we make of AI in plastic surgery education
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 clinic...
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| Veröffentlicht in: | Journal of plastic, reconstructive & aesthetic surgery reconstructive & aesthetic surgery, 2023-06, Vol.81, p.94-96 |
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| container_title | Journal of plastic, reconstructive & aesthetic surgery |
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| creator | Koljonen, Virve |
| description | 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. |
| doi_str_mv | 10.1016/j.bjps.2023.04.055 |
| format | Article |
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| ispartof | Journal of plastic, reconstructive & aesthetic surgery, 2023-06, Vol.81, p.94-96 |
| issn | 1748-6815 1878-0539 |
| language | eng |
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| source | MEDLINE; ScienceDirect Journals (5 years ago - present) |
| subjects | Artificial Intelligence Dalle2 Humans Medical education Plastic surgery education Plastic Surgery Procedures Skin Neoplasms Soft Tissue Neoplasms Surgery, Plastic Text- to-picture |
| title | What could we make of AI in plastic surgery education |
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