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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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Dynamic Navigation in Endodontics: Guided Access Cavity Preparation by Means of a Miniaturized Navigation System
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人工智能在牙周内科的应用:一个叙事审查.

Dennis Dennis1, Siriwan Suebnukarn2, Min-Suk Heo3

  • 1Department of Conservative Dentistry, Faculty of Dentistry, Universitas Sumatera Utara, Medan, Indonesia.

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PubMed
概括

人工智能 (AI) 在内牙科方面取得了重大进展,提高了诊断和治疗效率. 这项技术通过精确识别,评估和预测牙疾病来增强根管治疗.

关键词:
人工智能的人工智能深度学习 (Deep Learning) 是一种深度学习.牙周内科医院 牙周内科医院 牙周内科医院放射学 放射学 放射学 放射学

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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:

  • 牙周内包括复杂的程序,需要准确的诊断.
  • 人工智能 (AI) 的整合为增强内牙实践提供了新的机会.
  • 了解人工智能方法对于现代牙科专业人士来说至关重要.

研究的目的:

  • 审查关于人工智能方法和应用在牙周内科的科学文献.
  • 为牙医提供有关内牙科人工智能的技术知识.
  • 突出AI在改善内牙诊断和治疗方面的潜力.

主要方法:

  • 在PubMed,Scopus和谷歌学者中进行了全面的文献搜索.
  • 关键词包括"人工智能"",机器学习"",深度学习"",内牙"",根管道治疗"和"X光学".
  • 在1992年至2023年间发表的71项研究被选中进行审查.

主要成果:

  • 人工智能应用程序在识别根骨折和周周病变方面是有效的.
  • 人工智能有助于评估工作长度和根管解剖学.
  • 人工智能可以预测重新治疗的成功,并评估牙髓干细胞的生存能力.

结论:

  • 人工智能将推进内牙科调度,患者护理和预后诊断.
  • 机器人内牙外科手术代表了人工智能的新兴应用.
  • 人工智能显著改善了内牙诊断和治疗,提高了整体治疗疗效.