Abstract:This paper focuses on the research progress of artificial intelligence(AI) technology in the diagnosis and evaluation of brain tumor imaging, and looks forward to the role of AI in accurate and personalized diagnosis and treatment of brain tumors. The
retrieval date of this study was from January 1, 2015 to September 15, 2019. Two databases, PubMed and CNKI, were searched by keyword retrieval and the references included in the study were searched manually. A total of forty studies were included in this
study, of which fourteen studies involving brain tumor diagnosis, six studies involving brain tumor grading, six studies involving prognosis, three studies involving treatment response assessment, and eleven studies involving biological characteristics assessment.
AI technology has made significant progress in the field of brain tumors, such as tumordiagnosis, tumorgrading, prognosisprediction, assessment of treatment response and biological characteristics. We expect that AI technology has a broad application prospect in
the future diagnosis and treatment of brain tumors. However, there are still many formidable obstacles and pitfalls in AI technology such as the difficulty of aggregated data between organizations, leading to“data-island”. Facing the obstacle of data sharing, federal
learning is expected to solve the data privacy problem, which needs further exploration by relevant scholars.
吴双,陈蔓,周育夫. 人工智能技术在脑肿瘤影像诊断和评估中的应用[J]. 中国医疗设备, 2020, 35(12): 171-176.
WU Zhenan,ZAN GDong,ZHANG Liang. Application of Artificial Intelligence Technology in Imaging Diagnosis
and Evaluation of Brain Tumors. China Medical Devices, 2020, 35(12): 171-176.