Advances of artificial intelligence in clinical application and scientific research of neuro-oncology: Current knowledge and future perspectives
Yankun Zhan, Yanying Hao, Xiang Wang, Duancheng Guo
Abstract
Brain tumors refer to the abnormal growths that occur within the brain’s tissue, comprising both primary neoplasms and metastatic lesions. Timely detection, precise staging, suitable treatment, and standardized management are of significant clinical importance for extending the survival rates of brain tumor patients. Artificial intelligence (AI), a discipline within computer science, is leveraging its robust capacity for information identification and combination to revolutionize traditional paradigms of oncology care, offering substantial potential for precision medicine. This article provides an overview of the current applications of AI in brain tumors, encompassing the primary AI technologies, their working mechanisms and working workflow, the contributions of AI to brain tumor diagnosis and treatment, as well as the role of AI in brain tumor scientific research, particularly in drug innovation and revealing tumor microenvironment. Finally, the paper addresses the existing challenges, potential solutions, and the future application prospects. This review aims to enhance our understanding of the application of AI in brain tumors and provide valuable insights for forthcoming clinical applications and scientific inquiries. • A thorough and systematic exposition of the entire spectrum and diverse application scenarios of artificial intelligence techniques within the clinical practice of brain tumor management. • An in-depth overview of the most recent integrations of artificial intelligence techniques in brain tumor scientific research, encompassing drug development, targeted delivery, and the characterization of the tumor microenvironment. • A comprehensive discussion of the challenges encountered in the application of artificial intelligence techniques across clinical practice and scientific research domains in brain tumor, and suggestions of potential strategies.