Using Generative Artificial Intelligence Tools in Cosmetic Surgery: A Study on Rhinoplasty, Facelifts, and Blepharoplasty Procedures.

Journal of clinical medicine 2023 Vol.12(20)

Lim B, Seth I, Kah S, Sofiadellis F, Ross RJ, Rozen WM, Cuomo R

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Abstract

Artificial intelligence (AI), notably Generative Adversarial Networks, has the potential to transform medical and patient education. Leveraging GANs in medical fields, especially cosmetic surgery, provides a plethora of benefits, including upholding patient confidentiality, ensuring broad exposure to diverse patient scenarios, and democratizing medical education. This study investigated the capacity of AI models, DALL-E 2, Midjourney, and Blue Willow, to generate realistic images pertinent to cosmetic surgery. We combined the generative powers of ChatGPT-4 and Google's BARD with these GANs to produce images of various noses, faces, and eyelids. Four board-certified plastic surgeons evaluated the generated images, eliminating the need for real patient photographs. Notably, generated images predominantly showcased female faces with lighter skin tones, lacking representation of males, older women, and those with a body mass index above 20. The integration of AI in cosmetic surgery offers enhanced patient education and training but demands careful and ethical incorporation to ensure comprehensive representation and uphold medical standards.

추출된 의학 개체 (NER)

유형영어 표현한국어 / 풀이UMLS CUI출처등장
시술 rhinoplasty 코성형술 dict 1
시술 blepharoplasty 안검성형술 dict 1
해부 DALL-E 2 scispacy 1
해부 skin scispacy 1
합병증 eyelids scispacy 1
약물 Blue scispacy 1
질환 Networks scispacy 1
기타 Facelifts scispacy 1
기타 patient scispacy 1
기타 female scispacy 1
기타 women scispacy 1

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