Research advances and applications of artificial intelligence in cardiac CT
Coronary artery disease (CAD) remains the leading cause of morbidity and mortality globally. The recent years have witnessed a steep increase in the number of cardiac CT examinations, including coronary CT angiography (CCTA) and non-contrast ECG-gated cardiac CT, which put a heavy load on the radiol...
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| Format: | Article |
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KeAi Communications Co., Ltd.
2024-12-01
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| Series: | Meta-Radiology |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2950162824000687 |
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| author | Li-Miao Zou Ke-Ting Xu Yi-Ning Wang |
| author_facet | Li-Miao Zou Ke-Ting Xu Yi-Ning Wang |
| author_sort | Li-Miao Zou |
| collection | DOAJ |
| description | Coronary artery disease (CAD) remains the leading cause of morbidity and mortality globally. The recent years have witnessed a steep increase in the number of cardiac CT examinations, including coronary CT angiography (CCTA) and non-contrast ECG-gated cardiac CT, which put a heavy load on the radiologists. Artificial intelligence (AI), which aims to automate tasks that resembles human intelligence, presents itself as a promising solution. AI has played an increasingly important role in the field of cardiac CT, from advanced image reconstruction to coronary stenosis and plaque analysis, predicting flow, and potentially better risk stratification and event prediction. In this review, we aim to summarize state-of-the-art AI approaches applied to cardiac CT and their future implications. |
| format | Article |
| id | doaj-art-fe2a66593d3647b68cdf4f7252a9e414 |
| institution | Kabale University |
| issn | 2950-1628 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Meta-Radiology |
| spelling | doaj-art-fe2a66593d3647b68cdf4f7252a9e4142025-01-04T04:57:34ZengKeAi Communications Co., Ltd.Meta-Radiology2950-16282024-12-0124100114Research advances and applications of artificial intelligence in cardiac CTLi-Miao Zou0Ke-Ting Xu1Yi-Ning Wang2Department of Radiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1, Shuaifuyuan, Dongcheng District, Beijing 100730, ChinaDepartment of Radiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1, Shuaifuyuan, Dongcheng District, Beijing 100730, ChinaCorresponding author.; Department of Radiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1, Shuaifuyuan, Dongcheng District, Beijing 100730, ChinaCoronary artery disease (CAD) remains the leading cause of morbidity and mortality globally. The recent years have witnessed a steep increase in the number of cardiac CT examinations, including coronary CT angiography (CCTA) and non-contrast ECG-gated cardiac CT, which put a heavy load on the radiologists. Artificial intelligence (AI), which aims to automate tasks that resembles human intelligence, presents itself as a promising solution. AI has played an increasingly important role in the field of cardiac CT, from advanced image reconstruction to coronary stenosis and plaque analysis, predicting flow, and potentially better risk stratification and event prediction. In this review, we aim to summarize state-of-the-art AI approaches applied to cardiac CT and their future implications.http://www.sciencedirect.com/science/article/pii/S2950162824000687Coronary artery diseaseComputed tomography angiographyArtificial intelligence |
| spellingShingle | Li-Miao Zou Ke-Ting Xu Yi-Ning Wang Research advances and applications of artificial intelligence in cardiac CT Meta-Radiology Coronary artery disease Computed tomography angiography Artificial intelligence |
| title | Research advances and applications of artificial intelligence in cardiac CT |
| title_full | Research advances and applications of artificial intelligence in cardiac CT |
| title_fullStr | Research advances and applications of artificial intelligence in cardiac CT |
| title_full_unstemmed | Research advances and applications of artificial intelligence in cardiac CT |
| title_short | Research advances and applications of artificial intelligence in cardiac CT |
| title_sort | research advances and applications of artificial intelligence in cardiac ct |
| topic | Coronary artery disease Computed tomography angiography Artificial intelligence |
| url | http://www.sciencedirect.com/science/article/pii/S2950162824000687 |
| work_keys_str_mv | AT limiaozou researchadvancesandapplicationsofartificialintelligenceincardiacct AT ketingxu researchadvancesandapplicationsofartificialintelligenceincardiacct AT yiningwang researchadvancesandapplicationsofartificialintelligenceincardiacct |