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

<i>Background and Objectives:</i> 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. <i>Materials and Methods:</i> 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. <i>Results:</i> 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. <i>Conclusions:</i> Generative AI and text-guided inpainting show potential for enhancing aesthetic planning in orthofacial surgery, offering personalized treatment paths and aiding virtual surgical planning.

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Publication Details

Journal
Medicina
Published
2025-11-21
DOI
https://doi.org/10.3390/medicina61122075
Citations
1
Primary Topic
Orthodontics and Dentofacial Orthopedics
Type
article
Field-Weighted Citation Impact
1.68
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article

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

Vincenzo Abbate, Giovanni Dell’Aversana Orabona, Riccardo Nocini, Daniela Pacella et al.
1 citations
Medicina
Orthodontics and Dentofacial Orthopedics
1.68
article

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

Vincenzo Abbate, Giovanni Dell’Aversana Orabona, Riccardo Nocini, Daniela Pacella, Stefania Troise, Cristiano Russo, Cristian Tommasino, Luigi Angelo Vaira, Gabriele Canzi, Antonio M. Rinaldi, Emanuele Carraturo, Giorgio Novelli, Domenico Benfenati, Sara Tramontano
article en
1 citations

Abstract

<i>Background and Objectives:</i> 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. <i>Materials and Methods:</i> 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. <i>Results:</i> 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. <i>Conclusions:</i> Generative AI and text-guided inpainting show potential for enhancing aesthetic planning in orthofacial surgery, offering personalized treatment paths and aiding virtual surgical planning.

MedicinaVol. 61(12)
University of Verona (IT), University of Sassari (IT), Azienda Socio Sanitaria Territoriale Grande Ospedale Metropolitano Niguarda (IT), Azienda Ospedaliera San Gerardo (IT), Federico II University Hospital (IT), Istituti di Ricovero e Cura a Carattere Scientifico (IT), University of Naples Federico II (IT)
Openalex Percentile: Top 13%
Orthodontics and Dentofacial Orthopedics
1.68
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