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Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

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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.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
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相关实验视频

Updated: Jan 12, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
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Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

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眼科人工智能:实际应用,子专业证据和现实世界的部署.

Arham Yahya Rizwan Khan1, Muhammad Bilal Malik2

  • 1Medicine and Surgery, Shifa International Hospitals Limited, Islamabad, PAK.

Cureus
|November 7, 2025
PubMed
概括

人工智能 (AI) 通过改善眼睛疾病的诊断和管理来提高眼睛护理. 虽然人工智能显示出很大的前景,但在眼科医学的更广泛使用方面,需要解决实施和伦理方面的挑战.

科学领域:

  • 眼科和医学人工智能 (AI)
  • 人工智能在诊断和管理眼部疾病中的应用.

背景情况:

  • 人工智能正在彻底改变医学,特别是眼科,用于诊断,管理和治疗眼病.
  • 该评论侧重于人工智能在糖尿病视网膜病变,白内障,绿内障和与年龄相关的黄斑变性等常见疾病中的作用.

研究的目的:

  • 提供关于人工智能在眼科中的应用和利用的综合文献综述.
  • 评估当前AI系统在眼科疾病检测和管理方面的有效性和局限性.

主要方法:

  • 我们对PubMed和谷歌学者数据库进行了系统的搜索.
  • 包含了102项研究,涵盖了各种眼科子专业.
  • 专注于深度学习 (DL) 和机器学习 (ML) 算法,用于分析眼科数据.

主要成果:

  • 人工智能,特别是DL和ML,在通过视网膜图像和OCT扫描来诊断和分类眼病方面表现出高度准确性.
  • 人工智能系统的准确性与临床专家相美,主观性和时间减少.
  • 人工智能的应用范围扩展到视网膜,玻璃眼,角膜,儿科眼科,神经眼科和眼科紧急情况.

结论:

  • 人工智能正在改变眼科的查,诊断和管理,对个性化治疗计划有很大的潜力.
关键词:
人工智能 (ai) 是一种人工智能.医疗保健中的人工智能深度学习人工智能 人工智能机器学习是机器学习.眼科 眼科 眼科

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  • 包括监管批准,数据质量,标准化和道德问题在内的挑战阻碍了广泛的AI实施.
  • 未来的研究必须解决这些障碍,以优化人工智能,以改善眼科患者的护理.