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[多模式图像融合技术在牙科应用中的进展]

T Y Ma¹, N Zhu¹, Y Zhang¹

¹Department of Periodontology, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China.

Zhonghua kou qiang yi xue za zhi = Zhonghua kouqiang yixue zazhi = Chinese journal of stomatology

|September 27, 2025

概括

多模式医疗图像融合 (MMIF) 通过整合各种成像类型的数据来增强牙科. 人工智能 (AI) 显著改善了MMIF.

科学领域:

牙科牙科是指牙科的专业.
医疗成像医学成像
人工智能的人工智能

背景情况:

在牙科中,传统的单模成像在内容和测量准确性方面存在局限性.
这些局限性阻碍了个性化患者数据分析和先进的治疗计划.
通过整合来自多种成像模式的数据来克服这些缺陷,引入了多式医疗图像融合 (MMIF).

研究的目的:

系统地审查MMIF在牙科的发展和应用.
分析MMIF的技术进步,特别是与人工智能 (AI) 相结合.
为未来的牙科治疗创新提供见解.

主要方法:

审查MMIF技术在牙科的历史发展.
分析MMIF在口腔保健中的当前应用.
探索AI算法和网络与MMIF的集成,以提高注册和精度.

主要成果:

MMIF结合了各种成像模式的优势,提供了更丰富的手术前信息.
人工智能在MMIF注册的精度和效率方面取得了显著的改进.
人工智能和MMIF之间的协同作用为牙科领域的新型治疗技术提供了稳定的基础.

结论:

在现代牙科中,MMIF对于准确的手术前规划,手术内实施和预后判断至关重要.
人工智能与MMIF的整合代表了重要的技术进步,增强了个性化的患者数据分析.
本次审查强调了人工智能增强的MMIF在推动未来牙科创新和进步方面的潜力.

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