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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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Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
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科学领域:

  • 在瘤学瘤学.
  • 人工智能的人工智能
  • 医疗信息学 医疗信息学

背景情况:

  • 人工智能 (AI) 正在迅速改变多学科的瘤学.
  • 人工智能影响跨专业的癌症检测,分类和治疗计划.
  • 人工智能利用各种数据进行模式识别,药物发现和个性化医疗.

研究的目的:

  • 提供关于人工智能在重塑癌症护理中的作用的全面概述.
  • 审查人工智能在瘤学领域实施的好处和挑战.
  • 概述全球瘤学中人工智能的伦理和政策影响.

主要方法:

  • 对瘤学中的AI应用进行了全面的文献审查和分析.
  • 检查AI对诊断和治疗过程的影响.
  • 评估数据质量,偏见,隐私和监管方面的考虑.

主要成果:

  • 人工智能在早期诊断,个性化治疗和药物发现方面显示出巨大潜力.
  • 挑战包括数据质量,算法偏见,可解释性,隐私和监管障碍.
  • 癌症护理方面的差异,特别是在低收入和中等收入国家 (LMICs),因人工智能获得不平等的机会而加剧.

结论:

  • 人工智能为以患者为中心的瘤学提供了变革性的潜力.
  • 解决道德和政策挑战对于公平和可持续的AI整合至关重要.
  • 为利益相关者提出了行动呼吁,以推动人工智能驱动的瘤学在全球范围内向前发展.