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The formation of teeth, also known as odontogenesis, is a complex process that begins in utero, around the sixth week of embryonic development. There are three stages to this process: the bud stage, the cap stage, and the bell stage.
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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
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生成型人工智能:牙科的应用和未来前景

Zeyao Ma1, Chenlin Du2, Qicheng Lao3

  • 1Department of Orthodontics, Capital Medical University School of Stomatology, Beijing, China.

International dental journal
|November 19, 2025
PubMed
概括

生成型人工智能 (GenAI) 正在通过帮助诊断,治疗计划和教育来改变牙科. 进一步的研究和标准化的协议对于其安全有效地融入牙科实践至关重要.

关键词:
人工智能的人工智能是人工智能.牙科 牙科是指牙科的专业.生成型的人工智能 (GAI) 是一种人工智能.

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科学领域:

  • 牙科 牙科是指牙科的专业.
  • 人工智能的人工智能
  • 医疗技术 医疗技术 医学技术

背景情况:

  • 生成型人工智能 (GenAI) 的采用在临床和教育牙科环境中越来越多.
  • 需要进行全面的审查,以评估GenAI在牙科领域的当前影响和未来潜力.
  • 基因人工智能技术正在快速发展,并准备彻底改变牙科医学.

研究的目的:

  • 进行GenAI应用,挑战和牙科前景的叙事审查.
  • 分析2020年至2025年间发表的研究,重点关注各种牙科领域的GenAI.
  • 评估GenAI在牙科实践和教育中的进展和未来方向.

主要方法:

  • 从2020-2025年对74项研究进行系统的文献搜索和分析.
  • 专注于牙科医学的不同分支的应用.
  • 基因人工智能技术的分类,包括生成对抗网络,扩散模型和大型语言模型.

主要成果:

  • 在诸如牙冠设计,正牙牙对齐,放射图像分析和创建教育材料等领域,GenAI显示出显著的前景.
  • 确定的局限性包括缺乏广泛的临床验证,使用非标准化数据集和分散的临床工作流.
  • 伦理考虑,包括患者数据隐私和算法透明度,对GenAI的实施构成重大挑战.

结论:

  • 生成型人工智能是一种变革性技术,有可能显著改善牙科诊断,治疗计划和教育方法.
  • 通过持续的研究和标准化协议的开发来解决目前的局限性,对于将GenAI安全有效地整合到牙科中至关重要.
  • 未来的方向强调需要强大的验证和伦理框架,以充分利用GenAI在改变牙科护理方面的全部潜力.