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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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通过人工智能技术增强头骨和面部手术.

Wesley Do1, Niels van Nistelrooij2, Stefaan Bergé1

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人工智能 (AI) 在各种子专业中增强了头骨面外科 (CMF) 手术. 本综述详细介绍了AI在诊断,规划和治疗中的应用,强调了它在CMF外科手术中的变革潜力.

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人工智能的人工智能是人工智能.数字头骨和面部外科手术断裂检测检测器可以检测到断裂.预测性分析是一种预测性分析.虚拟手术规划虚拟手术规划整个幻灯片成像成像系统.

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科学领域:

  • 头和面部 (CMF) 手术
  • 医学的人工智能 (AI)

背景情况:

  • 人工智能 (AI) 在多个肌脸部 (CMF) 手术子专业领域提供了显著的潜力.
  • 核心AI任务如分类,对象检测和细分是CMF应用程序的基础.

研究的目的:

  • 为AI基础及其在CMF手术中的应用提供全面的概述.
  • 探索AI在各种CMF子专业和手术阶段的整合和影响.

主要方法:

  • 对人工智能基础的审查,包括分类,对象检测和细分.
  • 探索人工智能开发和整合在牙脉手术,植入物学,创伤学,瘤学,面手术和正性/女性化手术.

主要成果:

  • 人工智能正在被整合到诊断,手术前规划,手术内辅助,手术后管理和CMF手术的结果预测中.
  • 人工智能驱动的进步在各种CMF子专业中得到了注意,改善了手术工作流程和患者护理.

结论:

  • 在CMF手术中采用人工智能正在取得进展,提供了从诊断到结果预测的增强功能.
  • 数据限制,算法验证和临床集成等挑战需要持续关注,以便在CMF手术中成功实施AI.