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.
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 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 |