Shaping the 4D frontier in maxillofacial surgery with faceMesh evolution

Ricardo Grillo, Bruno Alvarez Quinta Reis, Bernardo Correia Lima, Fernando Melhem-Elias

Research output: Contribution to journalArticlepeer-review

Abstract

Objectives: This work aims to introduce a Python-based algorithm and delve into the recent paradigm shift in Maxillofacial Surgery propelled by technological advancement. The provided code exemplifies the utilization of the MediaPipe library, created by Google in C++, with an additional Python interface available as a binding. Technical Note: The advent of FaceMesh coupled with artificial intelligence (AI), has brought about a transformative wave in contemporary maxillofacial surgery. This cutting-edge deep neural network, seamlessly integrated with Virtual Surgical Planning (VSP), offers surgeons precise 4D facial mapping capabilities. It accurately identifies facial landmarks, tailoring surgical interventions to individual patients, and streamlining the overall surgical procedure. Conclusion: FaceMesh emerges as a revolutionary tool in modern maxillofacial surgery. This deep neural network empowers surgeons with detailed insights into facial morphology, aiding in personalized interventions and optimizing surgical outcomes. The real-time assessment of facial dynamics contributes to improved aesthetic and functional results, particularly in complex cases like facial asymmetries or reconstructions. Additionally, FaceMesh has the potential for early detection of medical conditions and disease prediction, further enhancing patient care. Ongoing refinement and validation are essential to address limitations and ensure the reliability and effectiveness of FaceMesh in clinical settings.

Original languageEnglish (US)
Article number101843
JournalJournal of Stomatology, Oral and Maxillofacial Surgery
Volume125
Issue number3
DOIs
StatePublished - Jun 2024

Keywords

  • Artificial intelligence
  • Digital planning
  • Facial recognition
  • Orthognathic surgery
  • Virtual planning

ASJC Scopus subject areas

  • Surgery
  • Oral Surgery
  • Otorhinolaryngology

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