将知识转化为行动:通过人工智能支持的多学科瘤学构建更美好的未来
Arturo Loaiza-Bonilla1,2,3, Nikhil Thaker4, Caroline Chung5
1St Luke's University Health Network, Bethlehem, PA.
概括
人工智能 (AI) 通过改进的检测和个性化治疗来增强癌症护理. 解决数据偏差和访问等挑战对于公平的全球瘤学至关重要.
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.
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