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Published on: August 5, 2021
Text-Guided Inpainting for Aesthetic Prediction in Orthofacial Surgery: A Patient-Centered AI Approach
Vincenzo Abbate1, Emanuele Carraturo1, Domenico Benfenati2
1Head and Neck Section, Maxillofacial Surgery Unit, Department of Neurosciences, Reproductive and Odontostomatological Sciences, University of Napoli Federico II, 80131 Naples, Italy.
Abstract:
Background and Objectives: Artificial intelligence (AI) is increasingly impacting medicine by improving healthcare delivery and simplifying diagnostic and therapeutic processes. Text-guided inpainting is a promising tool in orthofacial surgery for generating ideal, patient-specific facial profiles. Materials and Methods: A total of 89 patients with dentofacial deformities (DFDs) were evaluated. The DALL-E2 platform was used to generate profilometric transformations based on textual prompts. The resulting images were assessed by three groups: patients, expert surgeons, and the general population. Results: A total of 94% of surgeons, 85% of the general population, and 79% of patients rated the AI-modified profiles as more aesthetically pleasing than the originals. The prompt inspired by runway models had the highest agreement across groups. Conclusions: Generative AI and text-guided inpainting show potential for enhancing aesthetic planning in orthofacial surgery, offering personalized treatment paths and aiding virtual surgical planning.
