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Non-equilibrium in the Cell01:16

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An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
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The human tooth enables us to eat a variety of foods, speak clearly, and even aid in shaping our faces. Teeth are composed of various elements that work together. Here's a detailed look at the anatomy of a human tooth.
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人工智能及其在内牙科中的应用

Frank C Setzer1

  • 1Department of Endodontics, School of Dental Medicine, University of Pennsylvania, 240 South 40th Street, Philadelphia, PA 19104, USA.

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PubMed
概括
此摘要是机器生成的。

人工智能 (AI) 在牙周内科提供了变革性的潜力,用于疾病检测和治疗支持. 必须解决像黑子现象这样的挑战,以便广泛采用牙科.

关键词:
决策方式 决策方式深度学习是一种深度学习.诊断系统的诊断系统.教育教育教育教育教育教育.机器学习是机器学习.根运河治疗 根运河治疗治疗计划 治疗计划

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科学领域:

  • 牙科 牙科是指牙科的专业.
  • 牙周内科医院 牙周内科医院 牙周内科医院
  • 人工智能的人工智能

背景情况:

  • 人工智能 (AI) 正在成为牙周内科的一个变革性技术.
  • 最近的人工智能进步的重点是提高解剖结构和内牙疾病的检测和分类,包括周周病变和骨折.

研究的目的:

  • 审查人工智能在牙周内科的潜在应用.
  • 从执业牙医的角度来看,解决与人工智能实施相关的挑战和问题.

主要方法:

  • 对目前在内牙科的AI应用的文献综述.
  • 分析AI在临床决策,治疗支持和实时指导中的作用.
  • 讨论诸如黑子现象,域名转移和数据采集等挑战.

主要成果:

  • 人工智能可以显著提高牙周内科的诊断准确性和治疗规划.
  • 人工智能工具为增强决策和实时临床指导提供了潜力.
  • 几个挑战阻碍了AI在牙科实践中的主流采用.

结论:

  • 人工智能对彻底改变内科医疗实践具有重大前景.
  • 解决当前的局限性对于成功地将人工智能整合到牙科中至关重要.
  • 以牙医为中心的观点对于评估和实施人工智能技术至关重要.