人工智能辅助软组织虚拟规划在计算机辅助下巴重建中,使用骨自由片
Jane J Pu1, Dinggang Shen2,3, Xiao Fan4
1Division of Oral and Maxillofacial Surgery, Faculty of Dentistry, The University of Hong Kong, Hong Kong Special Administrative Region, China.
Plastic and reconstructive surgery
|December 22, 2025
概括
人工智能和增强现实通过准确地规划软组织,改进设计和收获来增强部重建. 这种综合方法增加了功能重建的计算机辅助手术的可预测性.
科学领域:
- 口腔和牙面部外科手术
- 生物医学工程 生物医学工程
- 医疗人工智能 医疗人工智能
背景情况:
- 计算机辅助手术 (CAS) 已经推进了下重建,但软组织规划仍然是一个挑战.
- 虚拟手术规划 (VSP) 往往忽视穿孔器位置和软组织,使片插入复杂化.
- 软组织规划的有限进展阻碍了虚拟手术计划的可预测执行.
研究的目的:
- 开发和评估一种人工智能 (AI) 程序,用于皮肤穿孔血管的自动细分.
- 将人工智能驱动的血管细分集成到大重建的VSP工作流中.
- 评估AI和增强现实 (AR) 在软组织规划中用于计算机辅助下巴重建的准确性和临床实用性.
主要方法:
- 一个人工智能程序被开发出来,可以自动划分皮肤穿孔血管.
- 穿孔器模型被纳入VSP用于骨切割和牙部植入点设计.
- 无眼镜的AR用于基于AI识别的船体投影的手术内设计和收获.
主要成果:
- 人工智能计划在26名患者中绘制了79个皮肤穿孔器,并集成到VSP中.
- 由于穿孔器位置,无需进行手术内调整,预测准确率为92.8%.
- 结合人工智能和AR方法在设计和收获方面表现出有希望的结果.
结论:
- 这项研究引入了第一个结合AI和AR方法,用于软组织规划在计算机辅助下巴重建.
- 人工智能和AR集成显著提高了功能性下巴重建的可预测性.
- 开发的系统显示了提高手术结果和减少手术内并发症的潜力.
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