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山东大学学报 (医学版) ›› 2023, Vol. 61 ›› Issue (12): 13-20.doi: 10.6040/j.issn.1671-7554.0.2023.0803

• 医学影像人工智能的创新与挑战—专家综述 • 上一篇    下一篇

影像人工智能在肺炎筛查、诊断及预测领域的应用研究进展

李骁,孙志远,张龙江*()   

  1. 南京大学医学院附属金陵医院(东部战区总医院)放射诊断科，江苏 南京 210002
  • 收稿日期:2023-08-31 出版日期:2023-12-10 发布日期:2024-01-11
  • 通讯作者: 张龙江 E-mail:kevinzhlj@163.com
  • 作者简介:张龙江，东部战区总医院放射诊断科主任，主任医师，教授，博士研究生导师，“长江学者奖励计划”特聘教授，国家优青，百千万人才工程国家级人选并被授予有突出贡献的中青年专家，国家重点研发计划首席科学家，联勤保障部队科技顶尖人才，江苏省百名医德之星。中华医学会放射学分会第十六届委员会委员兼心胸学组副组长、江苏省放射学会副主任委员、中国老年学学会放射学分会副会长。兼任《国际医学放射学杂志》副主编、《Journal Thoracic Imaging》血栓栓塞领域责任编辑等学术期刊编委
  • 基金资助:
    国家自然科学基金(82202150);国家自然科学基金(82371958)

Research advances of artificial intelligence-based medical imaging in the screening, diagnosis and prediction of pneumonia

Xiao LI,Zhiyuan SUN,Longjiang ZHANG*()   

  1. Department of Medical Imaging, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210002, Jiangsu, China
  • Received:2023-08-31 Online:2023-12-10 Published:2024-01-11
  • Contact: Longjiang ZHANG E-mail:kevinzhlj@163.com

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摘要：

肺炎是继缺血性心脏病和脑血管疾病之后的全球第三大死因，是严重威胁人类健康的重大公共卫生问题，早期快速精准的病因学诊断及危险性预测是肺炎诊疗和防控的首要任务，但影像科医生工作量大、不同类型肺炎影像表现重叠等原因使得肺炎及时、快速、准确诊断与结局预测有较大挑战。人工智能(AI)在影像领域的迅速发展为解决上述临床难题带来希望。本文对AI在肺炎诊断中的最新研究成果进行综述，旨在探讨AI系统在肺炎筛查、诊断、预测领域的最新进展，展望其应用前景，为促进我国合理优化肺炎患者临床管理，提升肺炎智能诊疗水平提供参考。

关键词: 影像, 人工智能, 肺炎, 筛查, 诊断, 预测

Abstract:

Pneumonia has become the third leading cause of death in the world after ischemic heart disease and cerebrovascular disease, and is a major public health problem that seriously threatens human health. Early, rapid and accurate etiological diagnosis and risk prediction are the primary tasks in the diagnosis, treatment and prevention of pneumonia. However, due to the heavy workload of radiologists and overlapping image manifestations of different types of pneumonia, timely, rapid, and accurate diagnosis and prediction is rather challenging. The rapid development of artificial intelligence (AI) in the imaging field offers hope for solving these clinical challenges. This paper reviews the latest research results of AI in the diagnosis of pneumonia, aiming to discuss the latest progress of AI system in the field of screening, diagnosis and prediction of pneumonia, and provide prospects in the field of pneumonia, so as to provide references for promoting reasonable optimization of clinical management of pneumonia patients in China and improving the level of intelligent diagnosis and treatment of pneumonia.

Key words: Radiology, Artificial intelligence, Pneumonia, Screening, Diagnosis, Prediction

中图分类号: 

  • R563.1
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