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

• 作者: Wang Xianze Yuan Chung Wen Correa Elon Zhu Yi Issa Eyad Dennison Ashley R.
• 来源期刊: 胰腺病学杂志（英文）
• 关键词: Artificial intelligence Deep learning Imaging modality Machine learning Pancreatic ductal adenocarcinoma
• 年，卷（期）: 2020,（4）
• 所属期刊栏目: Review Article
• 页码范围: 173-180
• 页数: 8页
• 语种: 中文
• DOI: 10.1097/JP9.0000000000000056

摘要

Pancreatic ductal adenocarcinoma (PDAC) is an aggressive malignancy with a limited number of effective treatments. Using emerging technologies such as artificial intelligence (AI) to facilitate the earlier diagnosis and decision-making process represents one of the most promising areas for investigation. The 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 medicine. In this article, we review the developments of AI in the field of PDAC and the present clinical position. We 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.