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山东大学学报 (医学版) ›› 2023, Vol. 61 ›› Issue (12): 7-12, 20.doi: 10.6040/j.issn.1671-7554.0.2023.0705

• 医学影像人工智能的创新与挑战—专家综述 • 上一篇    下一篇

影像人工智能在医学领域的时代创新与挑战

徐子良,郑敏文*()   

  1. 中国人民解放军空军军医大学第一附属医院放射科，陕西 西安 710032
  • 收稿日期:2023-08-10 出版日期:2023-12-10 发布日期:2024-01-11
  • 通讯作者: 郑敏文 E-mail:zhengmw2007@163.com
  • 作者简介:郑敏文，中国人民解放军空军军医大学第一附属医院(西京医院)放射科主任，医学影像学教研室主任，博士研究生导师，医学博士，主任医师、教授。国内著名心血管影像专家，长期致力于心血管影像的临床及科研工作。学术任职：中华医学会放射学分会常委兼心胸学组组长、中国医师协会放射医师分会常委兼急诊工作组组长、陕西省医师协会放射医师分会会长、陕西省医学会放射学分会副主委。奖项荣誉：先后获陕西省科学技术二等奖2项、陕西省教学成果一等奖1项、校级教学成果二等奖1项。研究成果：承担科技部重点研发计划项目子课题1项、国家卫健委数据库项目1项、国家自然科学基金4项、省部级课题5项。以第一或通讯作者发表SCI论文40余篇，主编国家级教材专著3部、副主编著作4部，参编教育部高校规划教材3部，牵头中国专家共识5部，参与制定行业标准2部、中国指南/专家共识10部
  • 基金资助:
    国家重点研发计划(2022YFA1004204)

Innovation and challenge of imaging artificial intelligence in medical field

Ziliang XU,Minwen ZHENG*()   

  1. Department of Radiology, The First Affiliated Hospital, Air Force Medical University of PLA, Xi'an 710032, Shaanxi, China
  • Received:2023-08-10 Online:2023-12-10 Published:2024-01-11
  • Contact: Minwen ZHENG E-mail:zhengmw2007@163.com

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摘要：

随着科技的发展，人工智能(AI)技术正逐渐应用于医学影像领域，但是AI技术仍面临诸多挑战。论文将分别从组织分割、疾病辅助诊断及临床研究三个方面综述影像AI技术在医学领域的应用进展，同时指出目前AI技术应用存在的问题。最后针对影像AI技术在医学领域中面临的挑战进行述评。

关键词: 医学影像, 人工智能, 深度学习, 计算机辅助诊断

Abstract:

With the development of science and technology, artificial intelligence (AI) has been applied in the medical imaging field gradually. However, the AI still faces many challenges. In this paper, the imaging application progress of AI in medical field will be reviewed from the aspect of tissue segmentation, auxiliary diagnosis of disease and clinical research, respectively, and the problems in them will also be pointed out. Finally, the challenges of imaging AI in medical field will be discussed.

Key words: Medical imaging, Artificial intelligence, Deep learning, Computer-aided diagnosis

中图分类号: 

  • R816
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