Work

Text-Guided Inpainting for Aesthetic Prediction in Orthofacial Surgery: A Patient-Centered AI Approach

Year: 2025
Type: article
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.
Source: Medicina
Language: English
Subfield: Orthodontics
Field: Dentistry
Open Access status: gold
Estimated APC paid: $2,654
OpenAlex ID: W4416460679
FWCI: 0.99
Cites: 35
Cited by: 1
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