在美学区的跨学科康复中,人工智能辅助治疗规划
F J P O Fonseca1, B B R Matias2, P Pacheco2
1Private Practice, Rio de Janeiro, Brazil.
概括
本案例报告强调了使用人工智能 (AI) 进行可预测的牙科康复的集成数字工作流. 人工智能增强的过程改善了审美功能结果和患者满意度.
科学领域:
- 牙科 牙科是指牙科的专业.
- 数字牙科数字牙科
- 医疗保健中的人工智能
背景情况:
- 一名患者出现了缺失的上左侧中央切口以及对可移动部分假牙的不满.
- 临床检查显示,他的脸上有的笑容,中线偏差,以及不成比例的半径距离空间.
研究的目的:
- 阐明通过人工智能 (AI) 增强的集成数字工作流程的应用.
- 为了实现自信的跨学科美学功能康复,具有高可预测性.
- 通过人工智能驱动的软件解决患者的主要投诉.
主要方法:
- 利用口腔内扫描和形束计算断层扫描 (CBCT) 进行全面的数据采集.
- 将数据集成到数字规划软件中,用于跨学科计划.
- 包括人工智能引导的正牙治疗与对齐器,引导植入器手术,和CAD/CAM假肢.
主要成果:
- 集成的数字工作流实现了从正义牙科治疗到最终康复的高可预测性.
- 加强了多学科团队和患者之间的沟通.
- 确保高度可预测的美学和功能结果.
结论:
- 综合数字化工作流可以提高诊断准确度,并简化人工智能驱动的规划.
- 促进患者的理解,增加满意度,并支持跨学科的合作.
- 通过增强的沟通和可预测的结果,促进治疗的坚持.
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