人工智能技术在肺部影像辅助诊断中的应用进展

Artificial intelligence technologies in lung imaging assisted diagnosis:a review

肺部影像不仅表现复杂,而且数据量增长迅速,多种因素导致影像科医生任务繁重。人工智能辅助诊断技术的出现恰逢其时,当前的智能诊断算法能够实现肺部病灶检出、分割和性质判断等多种应用模式,不仅有效提升医生诊断的效率、更有望推动分级诊疗、优化医疗资源配置。基于人工智能的肺部影像诊断技术已经从单一特定的疾病诊断逐渐发展到多疾病联合诊断。本文综述人工智能辅助诊断技术的发展背景,分析基于人工智能的肺部疾病诊断的研究现状,最后总结相关算法的优缺点和未来的发展方向。

Due to various factors such as complicated lung imaging and rapidly growing amount of data,the task for imaging technicians is arduous.The emergence of artificial intelligence assisted diagnosis technology comes just in time.The current intelligent diagnosis algorithms can realize multiple applications such as detection,segmentation and nature diagnosis of lung lesions,which not only effectively improves the efficiency of doctor diagnosis,but also is expected to promote hierarchical treatment and optimize the allocation of medical resources.Artificial intelligence based lung imaging diagnosis technology has gradually developed from single specific disease diagnosis to multi-disease joint diagnosis.Herein the development background of artificial intelligence assisted diagnosis technology is reviewed,and the research status of pulmonary disease diagnosis based on artificial intelligence is analyzed,and finally the advantages and disadvantages of relevant algorithms are summarized and the future development direction is discussed.