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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.
Cost Containment
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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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人工智能和机器学习模型在一般儿科手术中的最新发展

Hesham Elsayed1, Georg Singer1, Tristan Till2

  • 1Department of Pediatric and Adolescent Surgery, Medical University of Graz, Graz, Austria.

European journal of pediatric surgery : official journal of Austrian Association of Pediatric Surgery ... [et al] = Zeitschrift fur Kinderchirurgie
|August 26, 2025
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人工智能 (AI) 和机器学习 (ML) 在儿童外科诊断和预测方面具有前景. 更广泛的实施需要合作研究,强大的数据和外科医生的AI培训.

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科学领域:

  • 儿童手术
  • 医疗人工智能
  • 在医疗保健中的机器学习

背景情况:

  • 人工智能和机器学习正在改变医疗保健,
  • 挑战包括罕见的疾病,少量数据集和缺乏人工智能外科医生的培训.

研究的目的:

  • 在一般儿科手术中审查当前的AI和ML应用.
  • 专注于关键的疾病:尾炎,死肠炎,赫什斯普朗格病,先天性隔膜,胆管缩.

主要方法:

  • 在儿童手术中AI/ML应用的叙述性审查.
  • 总结了人工智能在图像分析,诊断,预测,监测和组织病理学中的五个关键条件.
  • 突出了可解释的人工智能,NLP和可穿戴设备等新工具.

主要成果:

  • 在儿童手术条件下,AI/ML显示出有前途的诊断和预后能力.
  • 目前的模型通常需要外部验证和标准化.
  • 人工智能,NLP和可穿戴设备是新兴的工具.

结论:

  • 人工智能和机器学习有很大的潜力提高儿童手术护理.
  • 广泛采用需要多中心协作,大量数据集和专门的AI教育.