Consensus on the research and application of artificial intelligence in coronary computed tomography angiography
Coronary computed tomography angiography (CCTA), which enables noninvasive assessment of luminal stenosis and atherosclerotic plaque components, has become the first-line technique for evaluating coronary artery disease. Artificial intelligence (AI) has the potential to revolutionize the CCTA workfl...
| الحاوية / القاعدة: | Intelligent Medicine |
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| المؤلفون الرئيسيون: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
| التنسيق: | مقال |
| اللغة: | الإنجليزية |
| منشور في: |
Elsevier
2025-08-01
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://www.sciencedirect.com/science/article/pii/S2667102625000609 |
| _version_ | 1849328037123850240 |
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| author | Longjiang Zhang Qian Chen Chun Xiang Tang Zhao Shi Tongyuan Liu Chunhong Hu Bin Lu Zhengyu Jin Guangming Lu Dianbo Cao Xiangying Du Xiaomin Duan Xiangming Fang Yinghui Ge Xuechun Guan Gulina Azati Yingkun Guo Yi He Yang Hou Zhihui Hou Chunhong Hu Hongjie Hu Bin Hu Zhengyu Jin Cheng Li Dong Li Tao Li Xiaohu Li Guangming Lu Hui Liu Min Liu Ting Liu Tongyuan Liu Bin Lu Fajin Lu Dan Mu Pei Nie Liqing Peng Jianxing Qiu Heshui Shi Zhao Shi Chunxiang Tang Gang Wang Gang Wang Rongpin Wang Ximing Wang Yining Wang Liming Xia Bolin Wu Jiang Wu Yi Xiao Xigang Xiao Lei Xu Yi Xu Benqiang Yang Qi Yang Li Yuan Xuchun Yuan Wenjie Yang Wei Yu Lei Yin Jiayin Zhang Longjiang Zhang Tong Zhang Yonggao Zhang Min Zhang Qing Zhang Yan Zhang Lei Zhao Minwen Zheng Yumin Zhong Hui Zhou Fan Zhou Li Zhu |
| author_facet | Longjiang Zhang Qian Chen Chun Xiang Tang Zhao Shi Tongyuan Liu Chunhong Hu Bin Lu Zhengyu Jin Guangming Lu Dianbo Cao Xiangying Du Xiaomin Duan Xiangming Fang Yinghui Ge Xuechun Guan Gulina Azati Yingkun Guo Yi He Yang Hou Zhihui Hou Chunhong Hu Hongjie Hu Bin Hu Zhengyu Jin Cheng Li Dong Li Tao Li Xiaohu Li Guangming Lu Hui Liu Min Liu Ting Liu Tongyuan Liu Bin Lu Fajin Lu Dan Mu Pei Nie Liqing Peng Jianxing Qiu Heshui Shi Zhao Shi Chunxiang Tang Gang Wang Gang Wang Rongpin Wang Ximing Wang Yining Wang Liming Xia Bolin Wu Jiang Wu Yi Xiao Xigang Xiao Lei Xu Yi Xu Benqiang Yang Qi Yang Li Yuan Xuchun Yuan Wenjie Yang Wei Yu Lei Yin Jiayin Zhang Longjiang Zhang Tong Zhang Yonggao Zhang Min Zhang Qing Zhang Yan Zhang Lei Zhao Minwen Zheng Yumin Zhong Hui Zhou Fan Zhou Li Zhu |
| author_sort | Longjiang Zhang |
| collection | DOAJ |
| container_title | Intelligent Medicine |
| description | Coronary computed tomography angiography (CCTA), which enables noninvasive assessment of luminal stenosis and atherosclerotic plaque components, has become the first-line technique for evaluating coronary artery disease. Artificial intelligence (AI) has the potential to revolutionize the CCTA workflow. However, it is crucial to evaluate the effectiveness and feasibility of AI algorithms before their clinical deployment. This expert consensus proposes three fundamental elements of research designs of AI in CCTA and offers corresponding recommendations. The consensus also reviews the existing evidence on AI applications in CCTA and provides recommendations on the current clinical applications of AI, including image acquisition and reconstruction, postprocessing, diagnosis, prognostic prediction, guiding prevention and treatment, and cardiovascular disease prevention. |
| format | Article |
| id | doaj-art-ebbbdff05a8444dc8b0a925cf287c27c |
| institution | Directory of Open Access Journals |
| issn | 2667-1026 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Elsevier |
| record_format | Article |
| spelling | doaj-art-ebbbdff05a8444dc8b0a925cf287c27c2025-08-30T07:59:46ZengElsevierIntelligent Medicine2667-10262025-08-015323424210.1016/j.imed.2024.11.006Consensus on the research and application of artificial intelligence in coronary computed tomography angiographyLongjiang Zhang0Qian Chen1Chun Xiang Tang2Zhao Shi3Tongyuan Liu4Chunhong Hu5Bin Lu6Zhengyu Jin7Guangming Lu8Dianbo Cao9Xiangying Du10Xiaomin Duan11Xiangming Fang12Yinghui Ge13Xuechun Guan14Gulina Azati15Yingkun Guo16Yi He17Yang Hou18Zhihui Hou19Chunhong Hu20Hongjie Hu21Bin Hu22Zhengyu Jin23Cheng Li24Dong Li25Tao Li26Xiaohu Li27Guangming Lu28Hui Liu29Min Liu30Ting Liu31Tongyuan Liu32Bin Lu33Fajin Lu34Dan Mu35Pei Nie36Liqing Peng37Jianxing Qiu38Heshui Shi39Zhao Shi40Chunxiang Tang41Gang Wang42Gang Wang43Rongpin Wang44Ximing Wang45Yining Wang46Liming Xia47Bolin Wu48Jiang Wu49Yi Xiao50Xigang Xiao51Lei Xu52Yi Xu53Benqiang Yang54Qi Yang55Li Yuan56Xuchun Yuan57Wenjie Yang58Wei Yu59Lei Yin60Jiayin Zhang61Longjiang Zhang62Tong Zhang63Yonggao Zhang64Min Zhang65Qing Zhang66Yan Zhang67Lei Zhao68Minwen Zheng69Yumin Zhong70Hui Zhou71Fan Zhou72Li Zhu73Department of Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210002, China; Corresponding authors: Longjiang Zhang, Department of Radiology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu 210002, China; Guangming Lu, Department of Radiology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu 210002, China.Department of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu 210006, ChinaDepartment of Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210002, ChinaDepartment of Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210002, ChinaDepartment of Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210002, ChinaDepartment of Radiology, First Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215006, ChinaDepartment of Radiology, Fuwai Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100037, ChinaDepartment of Radiology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100000, ChinaDepartment of Radiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu 210002, China; Corresponding authors: Longjiang Zhang, Department of Radiology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu 210002, China; Guangming Lu, Department of Radiology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu 210002, China.Department of Radiology, the First Hospital of Jilin UniversityDepartment of Radiology and Nuclear Medicine, Xuanwu HospitalDepartment of Radiology, Beijing Children’s Hospital Affiliated to Capital Medical UniversityDepartment of Medical Imaging, The Affiliated Wuxi People’s Hospital of Nanjing Medical UniversityDepartment of Radiology, Fuwai Central China Cardiovascular HospitalDepartment of Medical Imaging, The First Affiliated Hospital of Guangxi Medical UniversityDepartment of Radiology, the First Affiliated Hospital of Xinjiang Medical UniversityDepartment of Radiology, West China Second University Hospital of Sichuan UniversityDepartment of Radiology, Beijing Friendship HospitalDepartment of Radiology, Shengjing Hospital of China Medical UniversityDepartment of Radiology, Fuwai HospitalDepartment of Radiology, The First Affiliated Hospital of Soochow UniversityDepartment of Radiology, Sir Run Run Shaw HospitalDepartment of Radiology, Jinling HospitalDepartment of Radiology, Peking Union Medical College HospitalDepartment of Radiology, the Affiliated BenQ Hospital of Nanjing Medical UniversityDepartment of Radiology, Tianjin General Hospital of Tianjin Medical UniversityDepartment of Radiology, PLA General HospitalDepartment of Radiology, The First Affiliated Hospital of Anhui Medical UniversityDepartment of Radiology, Jinling HospitalDepartment of Radiology, Guangdong Provincial People’s HospitalDepartment of Radiology, China-Japan Friendship HospitalDepartment of Radiology, The First Hospital of China Medical UniversityDepartment of Radiology, Jinling HospitalDepartment of Radiology, Fuwai HospitalDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical UniversityDepartment of Medical Imaging, Nanjing Drum Tower HospitalDepartment of Radiology, The Affiliated Hospital of Qingdao UniversityDepartment of Radiology, West China HospitalDepartment of Radiology, Peking University First HospitalDepartment of Radiology, Union Hospital Affiliated to Tongji Medical College of Huazhong University of Science and TechnologyDepartment of Radiology, Jinling HospitalDepartment of Radiology, Jinling HospitalDepartment of Radiology, The First Hospital of Lanzhou UniversityDepartment of Radiology, The First People’s Hospital of Yunnan ProvinceDepartment of Medical Imaging, Guizhou Provincial People’s HospitalDepartment of Medical Imaging, Shandong Provincial HospitalDepartment of Radiology, Peking Union Medical College HospitalDepartment of Radiology, Tongji Hospital Affiliated to Tongji Medical College of Huazhong University of Science and TechnologyDepartment of Medical Imaging, The Second Hospital of Hebei Medical UniversityDepartment of Medical Imaging, Shanxi Cardiovascular HospitalDepartment of Radiology, Second Affiliated Hospital of Naval Medical UniversityDepartment of Radiology, The First Affiliated Hospital of Harbin Medical UniversityDepartment of Medical Imaging, Beijing Anzhen HospitalDepartment of Radiology, The First Affiliated Hospital of Nanjing Medical UniversityDepartment of Radiology, General Hospital of Northern Theater CommandDepartment of Radiology, Beijing Chaoyang HospitalDepartment of Radiology, Hainan Provincial People’s HospitalDepartment of Radiology, Shenzhen Hospital of Fuwai Hospital of Chinese Academy of Medical SciencesDepartment of Radiology, Ruijin HospitalDepartment of Medical Imaging, Beijing Anzhen HospitalDepartment of Radiology, Fujian Provincial Hospital Affiliated to Fuzhou UniversityDepartment of Radiology, Shanghai General HospitalDepartment of Radiology, Jinling HospitalDepartment of Medical Imaging, The Fourth Affiliated Hospital of Harbin Medical UniversityDepartment of Radiology, The First Affiliated Hospital of Zhengzhou UniversityDepartment of Radiology, Beijing HospitalDepartment of Imaging, Beijing Tongren HospitalDepartment of Imaging, The Affiliated Hospital of Guizhou Medical UniversityDepartment of Medical Imaging, The Affiliated Hospital of Inner Mongolia Medical UniversityDepartment of Radiology, Xijing HospitalDepartment of Radiology, Shanghai Children’s Medical CenterDepartment of Radiology, Xiangya HospitalDepartment of Radiology, Jinling HospitalDepartment of Radiology, The First Hospital of Ningxia Medical UniversityCoronary computed tomography angiography (CCTA), which enables noninvasive assessment of luminal stenosis and atherosclerotic plaque components, has become the first-line technique for evaluating coronary artery disease. Artificial intelligence (AI) has the potential to revolutionize the CCTA workflow. However, it is crucial to evaluate the effectiveness and feasibility of AI algorithms before their clinical deployment. This expert consensus proposes three fundamental elements of research designs of AI in CCTA and offers corresponding recommendations. The consensus also reviews the existing evidence on AI applications in CCTA and provides recommendations on the current clinical applications of AI, including image acquisition and reconstruction, postprocessing, diagnosis, prognostic prediction, guiding prevention and treatment, and cardiovascular disease prevention.http://www.sciencedirect.com/science/article/pii/S2667102625000609Artificial intelligenceCoronary artery diseaseCoronary computed tomography angiography |
| spellingShingle | Longjiang Zhang Qian Chen Chun Xiang Tang Zhao Shi Tongyuan Liu Chunhong Hu Bin Lu Zhengyu Jin Guangming Lu Dianbo Cao Xiangying Du Xiaomin Duan Xiangming Fang Yinghui Ge Xuechun Guan Gulina Azati Yingkun Guo Yi He Yang Hou Zhihui Hou Chunhong Hu Hongjie Hu Bin Hu Zhengyu Jin Cheng Li Dong Li Tao Li Xiaohu Li Guangming Lu Hui Liu Min Liu Ting Liu Tongyuan Liu Bin Lu Fajin Lu Dan Mu Pei Nie Liqing Peng Jianxing Qiu Heshui Shi Zhao Shi Chunxiang Tang Gang Wang Gang Wang Rongpin Wang Ximing Wang Yining Wang Liming Xia Bolin Wu Jiang Wu Yi Xiao Xigang Xiao Lei Xu Yi Xu Benqiang Yang Qi Yang Li Yuan Xuchun Yuan Wenjie Yang Wei Yu Lei Yin Jiayin Zhang Longjiang Zhang Tong Zhang Yonggao Zhang Min Zhang Qing Zhang Yan Zhang Lei Zhao Minwen Zheng Yumin Zhong Hui Zhou Fan Zhou Li Zhu Consensus on the research and application of artificial intelligence in coronary computed tomography angiography Artificial intelligence Coronary artery disease Coronary computed tomography angiography |
| title | Consensus on the research and application of artificial intelligence in coronary computed tomography angiography |
| title_full | Consensus on the research and application of artificial intelligence in coronary computed tomography angiography |
| title_fullStr | Consensus on the research and application of artificial intelligence in coronary computed tomography angiography |
| title_full_unstemmed | Consensus on the research and application of artificial intelligence in coronary computed tomography angiography |
| title_short | Consensus on the research and application of artificial intelligence in coronary computed tomography angiography |
| title_sort | consensus on the research and application of artificial intelligence in coronary computed tomography angiography |
| topic | Artificial intelligence Coronary artery disease Coronary computed tomography angiography |
| url | http://www.sciencedirect.com/science/article/pii/S2667102625000609 |
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