关键词： AI, artificial intelligence Artificial intelligence CT, computed tomography CTLA-4, cytotoxic T lymphocyte-associated antigen 4 Cancer immunotherapy DL, deep learning Diagnostics ICB, immune checkpoint blockade MHC-I, major histocompatibility complex class I ML, machine learning MMR, mismatch repair MRI, magnetic resonance imaging Machine learning PD-1, programmed cell death protein 1 PD-L1, PD-1 ligand1 TNBC, triple-negative breast cancer US, ultrasonography irAEs, immune-related adverse events AI, artificial intelligence Artificial intelligence CT, computed tomography CTLA-4, cytotoxic T lymphocyte-associated antigen 4 Cancer immunotherapy DL, deep learning Diagnostics ICB, immune checkpoint blockade MHC-I, major histocompatibility complex class I ML, machine learning MMR, mismatch repair MRI, magnetic resonance imaging Machine learning PD-1, programmed cell death protein 1 PD-L1, PD-1 ligand1 TNBC, triple-negative breast cancer US, ultrasonography irAEs, immune-related adverse events

来  源：   DOI：10.1016/j.apsb.2021.02.007   PDF(Sci-hub)   PDF(Pubmed)

Abstract：
Artificial intelligence (AI) is a general term that refers to the use of a machine to imitate intelligent behavior for performing complex tasks with minimal human intervention, such as machine learning; this technology is revolutionizing and reshaping medicine. AI has considerable potential to perfect health-care systems in areas such as diagnostics, risk analysis, health information administration, lifestyle supervision, and virtual health assistance. In terms of immunotherapy, AI has been applied to the prediction of immunotherapy responses based on immune signatures, medical imaging and histological analysis. These features could also be highly useful in the management of cancer immunotherapy given their ever-increasing performance in improving diagnostic accuracy, optimizing treatment planning, predicting outcomes of care and reducing human resource costs. In this review, we present the details of AI and the current progression and state of the art in employing AI for cancer immunotherapy. Furthermore, we discuss the challenges, opportunities and corresponding strategies in applying the technology for widespread clinical deployment. Finally, we summarize the impact of AI on cancer immunotherapy and provide our perspectives about underlying applications of AI in the future.
摘要：
人工智能（AI）是一个通用术语，是指使用机器来模仿智能行为，以最少的人为干预来执行复杂的任务。比如机器学习；这项技术正在彻底改变和重塑医学。人工智能在诊断等领域具有完善医疗保健系统的巨大潜力，风险分析,卫生信息管理，生活方式监督，虚拟健康援助。在免疫治疗方面，人工智能已被应用于基于免疫特征的免疫治疗反应的预测，医学成像和组织学分析。这些特征在癌症免疫疗法的管理中也非常有用，因为它们在提高诊断准确性方面的性能不断提高。优化治疗计划，预测护理结果并降低人力资源成本。在这次审查中,我们介绍了AI的详细信息以及将AI用于癌症免疫治疗的当前进展和最新技术。此外，我们讨论挑战，应用该技术进行广泛临床部署的机会和相应的策略。最后,我们总结了AI对癌症免疫治疗的影响，并提供了我们对未来AI潜在应用的看法。
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