Application study of artificial intelligence in tumor imaging

JIN Zhengyu

doi:10.19732/j.cnki.1008-617X.2018.04.002

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Application study of artificial intelligence in tumor imaging

更新时间：2025-12-15

- Application study of artificial intelligence in tumor imaging
- Vol. 27, Issue 4, Pages: 253-255(2018)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.19732/j.cnki.1008-617X.2018.04.002
  CLC：
- Published Online：17 September 2018，
  
  Published：17 September 2018
- 稿件说明：
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金征宇. 人工智能在肿瘤影像中的应用研究[J]. 肿瘤影像学, 2018, 27(4): 253-255 https://doi.

org/10.19732/j.cnki.1008-617X.2018.04.002
金征宇. 人工智能在肿瘤影像中的应用研究[J]. 肿瘤影像学, 2018, 27(4): 253-255 https://doi. DOI： 10.19732/j.cnki.1008-617X.2018.04.002.

org/10.19732/j.cnki.1008-617X.2018.04.002 DOI：

摘要

伴随人工智能的蓬勃发展，图像智能识别技术可较大程度地降低医师工作量、提高诊断准确性的观点在业界已达成共识。但在肿瘤综合诊疗方面，人工智能能否给予医师更好的帮助尚无定论。目前，国内外肿瘤影像领域的人工智能绝大多数仅集中于单纯的图像识别，缺乏医学数据的积累和对影像报告的分析，人工智能与肿瘤影像结合模式的探讨方兴未艾。

Abstract

General consensus has been established that radiologists workload can be reduced and diagnostic accuracy can be increased dramatically with the rapid development of artificial intelligence and intelligent image recognition. However

there is no certain answer whether artificial intelligence can provide better suggestion on the issue of tumor comprehensive diagnosis and treatment. Currently

the artificial intelligence imaging technique is mainly focused on simple image recognition

but there is a lack of experience in the accumulation of medical data and the analysis of radiological reports. The mode of artificial intelligence integrating with tumor imaging has just begun.

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Related Institution

Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University

Department of Radiology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University

College of Medical Instrumentation, Shanghai University of Medicine & Health Sciences

Department of Ultrasound, Shanghai Punan Hospital of Pudong New District

Department of Ultrasound, The First Affiliated Hospital of Nanjing Medical University

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