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相关概念视频

Issues And Trends In Healthcare Delivery System01:29

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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: Apr 10, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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生物医学中的人工智能:一个范围的回顾

Rasha Abu-El-Ruz1, Ali Hasan2, Dima Hijazi3

  • 1Department of Biomedical Sciences, College of Health Sciences, QU Health, Qatar University, Doha, Qatar.

British journal of biomedical science
|August 21, 2025
PubMed
概括
此摘要是机器生成的。

生物医学领域的人工智能 (AI) 发展迅速,但缺乏全面的描述. 这篇评论综合了AI

关键词:
其他国家人工智能生物医学科学在临床上范围审查

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科学领域:

  • 生物医学科学
  • 人工智能
  • 医疗保健技术

背景情况:

  • 人工智能 (AI) 越来越多地融入医疗保健,用于诊断,治疗,监测和预防疾病.
  • 尽管人工智能得到了广泛的应用,但其在生物医学领域的特点仍未得到充分探索.

研究的目的:

  • 进行范围审查,探索人工智能在生物医学领域的特点.
  • 综合六个领域的研究成果,了解人工智能与生物医学教育的相关性.

主要方法:

  • 使用Arksey和O'Malley框架进行范围审查.
  • 在没有限制的情况下搜索了PubMed,Embase和Web of Science数据库.
  • 从192篇文章中提取和综合数据.

主要成果:

  • 生物医学领域的人工智能出版物呈现稳定的增长,主要来自美国等高收入国家.
  • 机器学习是最常见的AI模型,微生物学是最相关的学科.
  • 在生物医学科学教育中对人工智能的研究存在重大差距,只有六项研究被确定.

结论:

  • 由于模型,学科和应用视角的差异,生物医学领域的人工智能表现不佳.
  • 机遇包括提高效率和准确性,而局限性则涉及模型的复杂性和稳定性.