Artificial intelligence (AI) is increasingly being used in the medical field, specifically for brain cancer imaging. In this review, we explore how AI-powered medical imaging can impact the diagnosis, prognosis, and treatment of brain cancer. We discuss various AI techniques, including deep learning and causality learning, and their relevance. Additionally, we examine current applications that provide practical solutions for detecting, classifying, segmenting, and registering brain tumors. Although challenges such as data quality, availability, interpretability, transparency, and ethics persist, we emphasise the enormous potential of intelligent applications in standardising procedures and enhancing personalised treatment, leading to improved patient outcomes. Innovative AI solutions have the power to revolutionise neuro-oncology by enhancing the quality of routine clinical practice.

中文翻译：

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增强脑癌诊断能力：利用人工智能获得先进的成像见解

人工智能（AI）越来越多地应用于医疗领域，特别是脑癌成像。在这篇综述中，我们探讨了人工智能驱动的医学成像如何影响脑癌的诊断、预后和治疗。我们讨论各种人工智能技术，包括深度学习和因果关系学习及其相关性。此外，我们还研究了当前的应用程序，这些应用程序为检测、分类、分割和记录脑肿瘤提供了实用的解决方案。尽管数据质量、可用性、可解释性、透明度和道德等挑战仍然存在，但我们强调智能应用在标准化程序和增强个性化治疗方面的巨大潜力，从而改善患者的治疗结果。创新的人工智能解决方案有能力通过提高常规临床实践的质量来彻底改变神经肿瘤学。