The integration of artificial intelligence models to augment imaging modalities in pancreatic cancer

作     者：Xianze Wang Wen Yuan Chung Elon Correa Yi Zhu Eyad Issa Ashley R.Dennison 

作者机构：Department of SurgeryPeking Union Medical College HospitalChinese Academy of Medical Science&Peking Union Medical CollegeBeijingChina Department of Hepatobiliary and Pancreatic SurgeryLeicester General HospitalLeicester School of ComputingScience and EngineeringUniversity of SalfordManchester Language Technology LabUniversity of CambridgeCambridgeUK 

出 版 物：《Journal of Pancreatology》 (胰腺病学杂志（英文）)

年 卷 期：2020年第3卷第4期

页      面：173-180页

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

主　　题：Artificial intelligence Deep learning Imaging modality Machine learning Pancreatic ductal adenocarcinoma 

摘      要：Pancreatic ductal adenocarcinoma(PDAC)is an aggressive malignancy with a limited number of effective *** emerging technologies such as artificial intelligence(AI)to facilitate the earlier diagnosis and decision-making process represents one of the most promising areas for *** integration of AI models to augment imaging modalities in PDAC has made great progression in the past 5 years,especially in organ segmentation,AI-aided diagnosis,and radiomics based individualized *** this article,we review the developments of AI in the field of PDAC and the present clinical *** also examine the barriers to future development and more widespread application which will require increased familiarity of the underlying technology among clinicians to promote the necessary enthusiasm and collaboration with computer professionals.