IBM Watson Health, IBM Corporation, Cambridge, Massachusetts.
Cancer Discov. 2022 Jun 2;12(6):1423-1427. doi: 10.1158/2159-8290.CD-22-0373.
Artificial intelligence (AI) and machine learning (ML) technologies have not only tremendous potential to augment clinical decision-making and enhance quality care and precision medicine efforts, but also the potential to worsen existing health disparities without a thoughtful, transparent, and inclusive approach that includes addressing bias in their design and implementation along the cancer discovery and care continuum. We discuss applications of AI/ML tools in cancer and provide recommendations for addressing and mitigating potential bias with AI and ML technologies while promoting cancer health equity.
人工智能（AI）和机器学习（ML）技术不仅具有极大的潜力来增强临床决策，提高医疗质量和精准医疗的效果，而且如果没有深思熟虑、透明和包容的方法，包括在癌症发现和治疗过程中解决其设计和实施中的偏见，这些技术也有可能加剧现有的健康差距。我们讨论了 AI/ML 工具在癌症中的应用，并就如何解决和减轻 AI 和 ML 技术中的潜在偏见以及促进癌症健康公平提出了建议。
