本综述强调了人工智能在癌症护理中广泛采用的关键作用和挑战，以加强疾病管理、简化临床流程、优化健康信息的数据检索以及生成和综合证据。人工智能模型的进步和数字生物标志物和诊断适用于从早期检测到生存护理的整个癌症过程。此外，生成人工智能有望简化临床文档和患者沟通，生成用于临床试验匹配的结构化数据，自动化癌症登记，并促进高级临床决策支持。由于对数据多样性和数据转移、模型可靠性和算法偏差、法律监督以及高昂的信息技术和基础设施成本的担忧，人工智能的广泛采用一直进展缓慢。人工智能模型具有改变癌症治疗的巨大潜力。人们正在努力在癌症实践中部署人工智能模型，评估其临床影响，并提高其公平性和可解释性。需要针对人工智能模型在癌症护理途径和临床操作中的道德整合制定标准化指南。为了获得临床医生、科学家和患者对人工智能辅助癌症治疗的信任，需要明确的治理和监督。版权所有 © 2024 Wolters Kluwer Health, Inc. 保留所有权利。

This review underscores the critical role and challenges associated with the widespread adoption of artificial intelligence in cancer care to enhance disease management, streamline clinical processes, optimize data retrieval of health information, and generate and synthesize evidence.Advancements in artificial intelligence models and the development of digital biomarkers and diagnostics are applicable across the cancer continuum from early detection to survivorship care. Additionally, generative artificial intelligence has promised to streamline clinical documentation and patient communications, generate structured data for clinical trial matching, automate cancer registries, and facilitate advanced clinical decision support. Widespread adoption of artificial intelligence has been slow because of concerns about data diversity and data shift, model reliability and algorithm bias, legal oversight, and high information technology and infrastructure costs.Artificial intelligence models have significant potential to transform cancer care. Efforts are underway to deploy artificial intelligence models in the cancer practice, evaluate their clinical impact, and enhance their fairness and explainability. Standardized guidelines for the ethical integration of artificial intelligence models in cancer care pathways and clinical operations are needed. Clear governance and oversight will be necessary to gain trust in artificial intelligence-assisted cancer care by clinicians, scientists, and patients.Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.