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相关概念视频

Suctioning the Nasopharyngeal Airway01:29

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Nasopharyngeal suctioning is a procedure to remove secretions from the upper part of the respiratory tract that the patient cannot clear independently. It helps maintain airway patency and prevents complications such as aspiration pneumonia.
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相关实验视频

Updated: Jun 25, 2025

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
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人工智能在鼻科中的应用

Noel F Ayoub1, Jordan T Glicksman1

  • 1Department of Otolaryngology-Head & Neck Surgery, Mass Eye and Ear/Harvard Medical School, Boston, MA, USA.

Otolaryngologic clinics of North America
|May 31, 2024
PubMed
概括
此摘要是机器生成的。

人工智能 (AI) 具有显著的潜力,可以通过改善诊断,个性化医疗和帮助手术规划来增强鼻科,过敏和骨底部手术. 虽然许多人工智能模型在研究中显示出前景,但临床实施仍在发展中.

关键词:
过敏 过敏是一种过敏.人工智能的人工智能是人工智能.深度学习是一种深度学习.机器学习 机器学习自然语言处理自然语言处理.鼻科 鼻科是指鼻科的专家.骨底部手术是如何进行的

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Modeling and Simulations of Olfactory Drug Delivery with Passive and Active Controls of Nasally Inhaled Pharmaceutical Aerosols
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科学领域:

  • 耳鼻喉科 耳鼻喉科 耳鼻喉科
  • 过敏 免疫学 免疫学
  • 神经外科 神经外科
  • 医疗信息学 医疗信息学

背景情况:

  • 鼻科,过敏和骨底部手术是复杂的领域,具有多样化的疾病过程.
  • 这些专业为人工智能 (AI) 提供了改善患者护理和实现个性化医疗的机会.
  • 现有的研究表明AI在这些领域的潜力,尽管临床集成是有限的.

研究的目的:

  • 审查人工智能 (AI) 在鼻科,过敏和骨底部手术中的当前应用和潜力.
  • 突出AI如何增强临床决策和个性化治疗策略.
  • 在这些外科和医疗子专业中确定人工智能研究的关键主题.

主要方法:

  • 在鼻科,过敏和骨底部手术中对AI发表的研究研究的审查.
  • 对人工智能模型开发和评估的分析,专注于in silico评估.
  • 基于其临床目标对人工智能应用进行分类.

主要成果:

  • 人工智能模型正在开发用于诊断支持,临床决策和患者表型/内型.
  • 人工智能在预测治疗结果和协助手术规划方面显示出潜力.
  • 目前大多数人工智能研究都侧重于in silico评估,而不是直接临床实施.

结论:

  • 人工智能在推进鼻科,过敏和骨底部手术方面具有相当大的前景.
  • 人工智能可以提高诊断准确度,个性化治疗和优化手术干预.
  • 需要进一步的研究和临床验证才能充分实现AI在这些领域的好处.