Desenvolvimento de uma startup de base tecnológica para análise facial automatizada com inteligência artificial aplicada à cirurgia ortognática

Abstract

JUSTIFICATION: Despite advances in orthognathic surgery techniques, significant limitations still persist regarding the predictability of aesthetic and functional outcomes, particularly concerning the behavior of facial soft tissues. Traditional approaches, such as 2D cephalometry and articulator-mounted models, do not offer sufficient threedimensional precision for effective surgical planning. In this context, artificial intelligence (AI) emerges as a promising tool capable of automating facial analysis, increasing diagnostic accuracy, and contributing to more reliable treatment planning. The project also aims to foster technological innovation in the Northern region of Brazil by integrating science, healthcare, and entrepreneurship. GENERAL OBJECTIVE: To develop a technology-based startup focused on creating a demonstrative prototype of a digital platform utilizing artificial intelligence for automated facial analysis, with an emphasis on supporting aesthetic-functional planning in orthognathic surgery. METHOD: The project was conducted in three main stages. The first stage involved entrepreneurial training through the Ocean Lab and Ocean Launch programs, which provided theoretical and practical foundations for structuring the startup Symmetry AI. In the second stage, a non-functional, demonstrative prototype was developed using synthetically generated facial images through AI and algorithms for extracting facial keypoints. The system interface was prototyped using Figma®, with an emphasis on usability and future clinical applicability. The third stage involved strategic planning for future intellectual property protection and institutional partnerships, although no formal registration has been completed to date. RESULTS: A low-fidelity prototype was developed, with no functional technical implementation yet. The system simulates the extraction of anatomical landmarks and facial analyses, serving as a conceptual foundation for future developments. The project was selected for innovation support programs such as Ocean Launch and Catalisa ICT, highlighting its potential for clinical applicability and technological innovation.