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Artificial Intelligence in Neuro-oncology:Friend or Foe of Neurosurgeons?

作     者:Zhenyu GONG Maximilian SCHWENDNER Tao XU 

作者机构:Department of NeurosurgeryKlinikum rechts der IsarTechnische Universität MünchenIsmaninger Str.2281675 MunichGermany Department of NeurosurgeryShanghai Changzheng HospitalNaval Medical UniversityShanghai 200003China 

出 版 物:《Clinical Cancer Bulletin》 (临床癌症通报(英文))

年 卷 期:2022年第1卷第1期

页      面:39-46页

学科分类:1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学] 

基  金:the National Natural Science Foundation of China(No.81472354) 

主  题:artificial intelligence deep learning machine learning neuro-oncology 

摘      要:As one of the tumors with substantial treatment difficulties,brain tumors have a high mortality rate and high treatment ***,surgical rection of deep-seated tumors or tumors involving eloquent areas is still a challenge for ***,accurate and early tumor diagnosis,selection of treatment options,and prediction of prognosis are important to improve patients’***,with the rapid development of computational technology,the frequency of its application in clinical work has increased enormously and the acquisition of medical data has become more convenient and ***,with the advancement of artificial intelligence(AI)—particularly,machine and deep learning—the applications of AI in medicine and especially neuro-oncology have enhanced diagnosis,treatment,and prognosis prediction of brain tumors topreviously unachievable *** article presents an overview of the applications of AI in neuro-oncology for diagnosis,prognosis,surgical treatment,and ***,the advantages,perspectives,and challenges of AI for clinical applications in neuro-oncology are discussed.

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