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Insights into artificial intelligence in clinical oncology:opportunities and challenges

Insights into artificial intelligence in clinical oncology:opportunities and challenges

作     者:Kai Chen Hanwei Li Zhanpeng Pan Zhuo Wu Erwei Song Kai Chen;Hanwei Li;Zhanpeng Pan;Zhuo Wu;Erwei Song

作者机构:Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene RegulationSun Yat-sen Memorial HospitalSun Yat-sen UniversityGuangzhou 510120China Breast Tumor CenterSun Yat-sen Memorial HospitalSun Yat-sen UniversityGuangzhou 510120China Artificial Intelligence LabSun Yat-sen Memorial HospitalSun Yat-sen UniversityGuangzhou 510120China Department of RadiologySun Yat-sen Memorial HospitalSun Yat-sen UniversityGuangzhou 510120China Fountain-Valley Institute for Life SciencesGuangzhou Institute of Biomedicine and HealthChinese Academy of SciencesGuangzhou 510530China Bioland LaboratoryGuangzhou 510005China 

出 版 物:《Science China(Life Sciences)》 (中国科学(生命科学英文版))

年 卷 期:2022年第65卷第3期

页      面:643-647页

核心收录:

学科分类:0710[理学-生物学] 1002[医学-临床医学] 08[工学] 081104[工学-模式识别与智能系统] 100214[医学-肿瘤学] 0811[工学-控制科学与工程] 10[医学] 

基  金:supported by grants from the National Key Research and Development Program of China(2016YFC1302300) the National Natural Science Foundation of China(81621004,81720108029,81930081,91940305) Guangdong Science and Technology Department(2020B1212060018,2020B1212030004) Clinical Innovation Research Program of Bioland Laboratory(2018GZR0201004) Guangzhou Science Technology and Innovation Commission(201803040015) the Program for Guangdong Introducing Innovative and Enterpreneurial Teams(2019BT02Y198) partly supported by Fountain-Valley Life Sciences Fund of University of Chinese Academy of Sciences Education Foundation supported by the Sun Yat-Sen University Clinical Research 5010 Program(#2018022)。 

主  题:diagnosis Cancer artificial 

摘      要:Cancer continues to be a major public health issue worldwide.Given the complexity of the etiology and pathophysiology of cancer,challenges always exist at every step of cancer management,including early screening,diagnosis,treatment selection,and surveillance.Emerging novel technologies hold promise in addressing a wide range of healthcare problems.Artificial intelligence(AI),which is capable of learning of features from given datasets.

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