The development, application, and benchmarking of artificial intelligence (AI) tools to improve diagnosis, prognostication, and therapy in neuro-oncology are increasing at a rapid pace. This Policy Review provides an overview and critical assessment of the work to date in this field, focusing on diagnostic AI models of key genomic markers, predictive AI models of response before and after therapy, and differentiation of true disease progression from treatment-related changes, which is a considerable challenge based on current clinical care in neuro-oncology. Furthermore, promising future directions, including the use of AI for automated response assessment in neuro-oncology, are discussed.

中文翻译：

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用于神经肿瘤学反应评估的人工智能 （AI-RANO），第 1 部分：当前进展回顾


用于改善神经肿瘤学诊断、预后和治疗的人工智能 （AI） 工具的开发、应用和基准测试正在迅速增加。本政策审查对该领域迄今为止的工作进行了概述和批判性评估，重点关注关键基因组标志物的诊断 AI 模型、治疗前后反应的预测 AI 模型，以及区分真实疾病进展与治疗相关变化，这是一个相当大的挑战基于当前神经肿瘤学的临床护理。此外，还讨论了有希望的未来方向，包括在神经肿瘤学中使用人工智能进行自动反应评估。