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Author Spotlight: Advancing Personalized Medicine in Ovarian Cancer
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在瘤学中实现公平的人工智能.

Vidya Sankar Viswanathan1, Vani Parmar2, Anant Madabhushi3,4

  • 1Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA.

Nature reviews. Clinical oncology
|June 7, 2024
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人工智能 (AI) 可以改变癌症护理,但它的好处分布不均. 开发公平的人工智能工具对于全球多样化的患者群体至关重要,特别是在低收入国家.

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科学领域:

  • 在瘤学瘤学.
  • 医疗信息学 医疗信息学
  • 健康 公平 卫生 公平

背景情况:

  • 人工智能 (AI) 显示出对彻底改变临床瘤学的承诺,改善癌症检测,风险评估和个性化治疗.
  • 目前的人工智能带来的好处分布不公平,有利于特定的地理位置和人群.
  • 在不同患者群体的AI工具可访问性和准确性方面存在重大差距.

研究的目的:

  • 突出需要在临床瘤学中开发公平的人工智能 (AI) 工具.
  • 讨论在不同患者群体中实现AI公平的挑战和解决方案,包括低收入和中等收入国家的患者.
  • 解决人工智能开发和部署中偏见和不公平的风险.

主要方法:

  • 讨论人工智能分布和获取现有的不平等现象.
  • 分析开发公平人工智能的挑战,包括数据表示和验证方法.
  • 专注于模型方法,数据集策划和AI开发中的上下文偏见.

主要成果:

  • 人工智能在瘤学中的潜力是显著的,但目前受到不公平分配的限制.
  • 不同的人口群体,特别是低收入国家的人口群体,受到当前人工智能进步的服务不足.
  • 历史数据的局限性和不充分的验证方法加剧了AI的不平等.

结论:

  • 促进公平的人工智能发展对于实现其在全球瘤学中的全部潜力至关重要.
  • 解决数据表示,验证和上下文偏见是实现AI公平的关键.
  • 需要共同努力,以确保人工智能工具有利于所有患者群体,无论其位置或社会经济地位.