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相关概念视频

Allergic Reactions02:06

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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.
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Trends in nursing are multifactorial and associated with changes in society, within the nursing profession, and in other professions. Notably, telehealth and remote nursing contribute to successful healthcare delivery for numerous patients and help reduce stress for nurses due to nursing shortages. Nurses can reach patients, monitor their conditions, and interact with them using computers, audio, visual accessories, and telephones—for example, remote patient monitoring systems. Likewise,...
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Asthma is a chronic respiratory ailment that requires careful management due to its varying symptoms and influencing factors. It is characterized by airway inflammation, bronchial hyperresponsiveness, and reversible airflow obstruction, leading to symptoms like wheezing, shortness of breath, chest tightness, and coughing. The symptom frequency and intensity may vary considerably over time. It is also linked to immune system responses to allergens and irritants, highlighting the complex...
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Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
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准备过敏科医生在2050年使用人工智能实践.

Paneez Khoury1, John Oppenheimer2, Supinda Bunyavanich3

  • 1Laboratory of Allergic Diseases, Division of Intramural Research, National Institute of Allergy and Infectious Diseases/National Institutes of Health, Bethesda, Md.

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PubMed
概括
此摘要是机器生成的。

到2050年,人工智能 (AI) 将改变过敏和免疫学,从决策支持转变为合作伙伴. 未来的过敏学家需要人工智能素养和道德培训,以提高患者的护理和研究.

关键词:
人工智能的人工智能是人工智能.电子健康记录电子健康记录大型语言模型.机器学习是机器学习.医学教育 医学教育

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科学领域:

  • 过敏和免疫学 过敏和免疫学
  • 医学教育 医学教育
  • 人工智能的人工智能

背景情况:

  • 人工智能 (AI) 越来越多地融入临床实践.
  • 由于人工智能,预计到2050年,过敏和免疫学领域将发生重大变革.
  • 人工智能正在从决策支持工具演变为医疗保健中的合作伙伴.

研究的目的:

  • 探索到2050年,人工智能在过敏和免疫学中的演变作用.
  • 概述研究生医学教育对过敏和免疫学的必要变化.
  • 解决人工智能在临床实践和研究中带来的挑战和机遇.

主要方法:

  • 审查当前趋势和人工智能在医学中的未来预测.
  • 分析人工智能对诊断,治疗个性化和医学教育的影响.
  • 讨论人工智能实施的伦理,法律和实际挑战.

主要成果:

  • 人工智能将增强诊断,个性化治疗,并彻底改变过敏和免疫学的医学教育.
  • 培训计划必须整合人工智能素养,数据科学和模拟.
  • 人工智能将通过预测分析和自动化试验匹配加速研究.
  • 伦理考虑包括患者自主权,偏见和数据隐私.
  • 临床医生将需要新的沟通策略来管理AI衍生的误解.

结论:

  • 人工智能有望增强而不是取代过敏学家,扩大他们的角色并专注于患者互动.
  • 未来的过敏科医生必须在技术上流利,在道德上有意识,并且擅长以人为中心的护理.
  • 调整培训和实践对于导航人工智能增强的医疗保健环境至关重要.