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Research progress of artificial intelligence in the entire workflow of computed tomography pulmonary angiography
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Jinmei Liu, Zhiyue Wang, Yaming Fan*
Modern Instruments & Medical Treatment | 2026, 32(2) : 112 - 120
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Modern Instruments & Medical Treatment | 2026, 32(2): 112-120
Research progress of artificial intelligence in the entire workflow of computed tomography pulmonary angiography
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Jinmei Liu, Zhiyue Wang, Yaming Fan*
Affiliations
  • Medical Imaging Department, the Third People's Hospital of Bengbu, Bengbu 233000, China
Published: 2026-04-10 doi: 10.11876/mimt202602018
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Pulmonary embolism (PE) is an acute cardiopulmonary disease characterized by high morbidity and mortality, making early detection and prompt treatment crucial. Although computed tomography pulmonary angiography (CTPA) serves as the “gold standard” for diagnosing PE due to its speed, non-invasiveness, and high sensitivity, it still presents several challenges in clinical practice. These include inconsistent image quality, the risk of missing small emboli, cumbersome diagnostic workflows, and insufficient precision in quantitative analysis. This article delves into the clinical value of artificial intelligence (AI) throughout the entire CTPA workflow. It systematically reviews research progress on AI applications, ranging from pre-scan optimization, image processing, automatic segmentation of pulmonary artery tree, to intelligent detection and quantitative analysis of pulmonary embolism, and prognosis risk assessment. It also discusses the current difficulties and challenges of implementing AI in clinical CTPA practice and explores future directions toward multimodal, intelligent, and portable solutions. This review aims to provide a reference for the research and clinical application of AI in the diagnosis of PE using CTPA, and to facilitate the innovation of CTPA and the improvement of medical service quality.

Artificial intelligence  /  Computed tomography pulmonary angiography  /  Pulmonary embolism  /  Image processing
刘近妹, 王芷玥, 范亚明. 人工智能在肺动脉CT血管成像全流程中的研究进展. 现代仪器与医疗, 2026 , 32 (2) : 112 -120 . DOI: 10.11876/mimt202602018
Jinmei Liu, Zhiyue Wang, Yaming Fan. Research progress of artificial intelligence in the entire workflow of computed tomography pulmonary angiography[J]. Modern Instruments & Medical Treatment, 2026 , 32 (2) : 112 -120 . DOI: 10.11876/mimt202602018
Year 2026 volume 32 Issue 2
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doi: 10.11876/mimt202602018
  • Online Date:2026-10-23
  • Published:2026-04-10
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    Medical Imaging Department, the Third People's Hospital of Bengbu, Bengbu 233000, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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