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
1. Verfasser:	Koljonen, Virve
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Dalle2 Humans Medical education Plastic surgery education Plastic Surgery Procedures Skin Neoplasms Soft Tissue Neoplasms Surgery, Plastic Text- to-picture
Online-Zugang:	Volltext
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Beschreibung
Zusammenfassung:	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.
ISSN:	1748-6815 1878-0539
DOI:	10.1016/j.bjps.2023.04.055