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相关概念视频

Ultrasound II: Endoscopic Ultrasound and FibroScan01:25

Ultrasound II: Endoscopic Ultrasound and FibroScan

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Endoscopic Ultrasound (EUS) and FibroScan are valuable diagnostic tools in gastroenterology and hepatology, each with specific applications and techniques.
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Ultrasonography01:17

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Ultrasonography is an imaging technique that uses high-frequency sound waves to visualize the body's internal structures. It is a non-invasive and safe procedure that does not involve the use of ionizing radiation, making it widely used in various medical fields. Ultrasonography is used to study heart function, blood flow in the neck or extremities, certain conditions such as gallbladder disease, and fetal growth and development.
During an ultrasonography procedure, a handheld device called...
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相关实验视频

Updated: Jun 22, 2025

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

Deyu Zhang1, Chang Wu1, Zhenghui Yang1

  • 1Department of Gastroenterology, Changhai hospital, Naval Medical University, Shanghai 200433, China.

Endoscopic ultrasound
|July 1, 2024
PubMed
概括

人工智能 (AI) 增强了内镜超声波 (EUS) 诊断,特别是胰腺瘤和胃肠道癌症. 然而,数据质量,算法偏见和道德问题等挑战需要进一步研究可靠的AI集成.

关键词:
人工智能的人工智能是人工智能.卷积神经网络是一种卷积神经网络.深度学习是一种深度学习.欧盟安全部队 (EUS)胃肠道疾病 胃肠道疾病机器学习 机器学习胰腺病变 胰腺病变

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科学领域:

  • 医学技术 医学技术 医学技术
  • 医疗保健中的人工智能
  • 内镜超声波 (EUS) 的使用

背景情况:

  • 人工智能 (AI),包括机器学习和深度学习,正在彻底改变医学诊断.
  • 人工智能在协助内镜超声波 (EUS) 诊断各种疾病方面表现有前途,包括胰腺瘤,慢性胰腺炎,胃肠道瘤,食道癌症和肝病变.

研究的目的:

  • 探索人工智能辅助EUS诊断的当前应用和挑战.
  • 为EUS确定人工智能未来发展和研究的关键领域.

主要方法:

  • 审查现有的关于人工智能在EUS诊断中的应用文献.
  • 在EUS中分析AI算法的报告成功和局限性.

主要成果:

  • 人工智能辅助的EUS在诊断一系列胃肠道和肝胆道疾病方面具有显著价值.
  • 目前的人工智能算法面临的挑战包括需要大量高质量的数据集,过度匹配和偏差的问题,以及缺乏前性验证.

结论:

  • 虽然人工智能在EUS中显示出巨大的潜力,但进一步的研究对于解决数据需求,提高算法可靠性和进行前性研究至关重要.
  • 必须仔细管理道德考虑,以确保在EUS诊断中负责任地实施AI.