Artificial Intelligence in Plastic Surgery: Implications and Limitations of Text-to-Image Models for Clinical Practice

作者: Ravi Dhawan , Denys Shay

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摘要: Artificial intelligence (AI) has rapidly advanced across healthcare including plastic surgery. Among these innovations, text-to-image models represent a significant leap, promising to transform some aspects of clinical practice. Text-to-image models generally consist of two main components: a large language model (LLM) that converts the input text into a latent representation, and a generative image model that creates an image based on this representation. 1 Due to their capability of producing increasingly realistic and detailed visuals, they have a vast potential as an innovative tool in plastic surgery. 2 However, there are notable limitations and ethical considerations that must be addressed before these technologies can be fully integrated into clinical practice.Text-to-image models involve the use of advanced algorithms to convert textual descriptions into detailed images. These models are trained on extensive …

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