Innovations in gender affirmation: AI-enhanced surgical guides for mandibular facial feminization surgery.

ABSTRACT:

Objectives

This study presents a fully automated digital workflow using artificial intelligence (AI) to create patient-specific cutting guides for mandible-angle osteotomies in facial feminization surgery (FFS). The goal is to achieve predictable, accurate, and safe results with minimal user input, addressing the time and effort required for conventional guide creation.

Materials and methods

Three-dimensional CT images of 30 male patients were used to develop and validate a workflow that automates two key processes: (1) segmentation of the mandible using a convolutional neural network (3D U-Net architecture) and (2) virtual design of osteotomy-specific cutting guides. Segmentation accuracy was assessed through comparison with expert manual segmentations using the dice simila

SUBMITTER: Beyer M 

PROVIDER: S-EPMC12296787 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature