Purpose: In this study, the recently emerged advances in Fuzzy Cognitive Maps (FCM) are investigated and employed, for achieving the automatic and non-invasive diagnosis of Coronary Artery Disease (CAD). Methods: A Computer-Aided Diagnostic model for the acceptable and non-invasive prediction of CAD using the State Space Advanced FCM (AFCM) approach is proposed. Also, a rule-based mechanism is incorporated, to further increase the knowledge of the system and the interpretability of the decision mechanism. The proposed method is tested utilizing a CAD dataset from the Laboratory of Nuclear Medicine of the University of Patras. More specifically, two architectures of AFCMs are designed, and different parameter testing is performed. Furthermore, the proposed AFCMs, which are based on the new equations proposed recently, are compared with the traditional FCM approach. Results: The experiments highlight the effectiveness of the AFCM approach and the new equations over the traditional approach, which obtained an accuracy of 78.21%, achieving an increase of seven percent (+7%) on the classification task, and obtaining 85.47% accuracy. Conclusions: It is demonstrated that the AFCM approach in developing Fuzzy Cognitive Maps outperforms the conventional approach, while it constitutes a reliable method for the diagnosis of Coronary Artery Disease. Conclusions and future research related to recent pandemic of coronavirus are provided.
AGMN: Association Graph-based Graph Matching Network for Coronary Artery Semantic Labeling on Invasive Coronary Angiograms
Michigan Technological University（密歇根理工大学）；The First Affiliated Hospital of Nanjing Medical University（南京医科大学第一附属医院）；Medical University of South Carolina（南卡罗来纳医科大学）；Chang Bing Show Chwan Memorial Hospital（彰滨秀传纪念医院）
ConvNeXtv2 Fusion with Mask R-CNN for Automatic Region Based Coronary Artery Stenosis Detection for Disease Diagnosis
Nepal Applied Mathematics and Informatics Institute for research（尼泊尔应用数学与信息学研究所）；Fogsphere(Redev AI Ltd.)（Fogsphere（Redev AI有限公司））；University of Lausanne（洛桑大学）；University of Aberdeen（阿伯丁大学）
CASR-Net: An Image Processing-focused Deep Learning-based Coronary Artery Segmentation and Refinement Network for X-ray Coronary Angiogram
Military Institute of Science and Technology（军事科学技术学院）；University of Dhaka（达卡大学）；Qatar University（卡塔尔大学）；Kuwait College of Science and Technology（科威特科学技术学院）；Vels Institute of Sciences, Technology, and Advanced Studies（韦尔斯科学技术与高级研究学院）；Majmaah University（马杰马阿大学）；Prince Sattam Bin Abdulaziz University（萨塔姆·本·阿卜杜勒阿齐兹亲王大学）；Manipal Academy of Higher Education（马尼帕尔高等教育学院）；Hamad Medical Corporation（哈马德医疗公司）
ImageCAS-X: a dataset and benchmark for coronary artery segmentation and centerline extraction in coronary CT angiography
DTU Compute, Technical University of Denmark（丹麦技术大学DTU计算学院）；Cardiovascular Research Unit, Copenhagen University Hospital – Rigshospitalet（哥本哈根大学医院——国立医院心血管研究科）
AI Framework for Early Diagnosis of Coronary Artery Disease: An Integration of Borderline SMOTE, Autoencoders and Convolutional Neural Networks Approach
Virginia Tech（弗吉尼亚理工大学）；Islamic Azad University（伊斯兰阿扎德大学）；Deakin University（迪肯大学）
Physics-informed self-supervised learning for predictive modeling of coronary artery digital twins
Chair of Mathematical Data Science, EPFL, Lausanne, Switzerland（数学数据科学教授职位，苏黎世联邦理工学院，拉沃斯，瑞士）；LTS4 laboratory, EPFL, Lausanne, Switzerland（LTS4实验室，苏黎世联邦理工学院，拉沃斯，瑞士）；School of AI and Advanced Computing, Xi’an Jiaotong-Liverpool University, China（人工智能与高级计算学院，西安交通大学利物浦大学，中国）；Cardiology Department, Lausanne University Center Hospital, Lausanne, Switzerland（心血管科，拉沃斯大学中心医院，拉沃斯，瑞士）；OLV Hospital, Aalst, Belgium（OLV医院，阿尔斯特，比利时）；AI Center, EPFL, Lausanne, Switzerland（人工智能中心，苏黎世联邦理工学院，拉沃斯，瑞士）
An Intelligent Decision Support Ensemble Voting Model for Coronary Artery Disease Prediction in Smart Healthcare Monitoring Environments
LASTIMI, High School of Technology Mohammed V University in Rabat Sale, Morocco；LASTIMI, Mohammedia School of Engineers Mohammed V University in Rabat Rabat, Morocco；CISIEV. Faculty of Science；Technology in Marrakech Cadi Ayyad University Marrakech, Morocco
A Framework for Cross-Domain Generalization in Coronary Artery Calcium Scoring Across Gated and Non-Gated Computed Tomography
Center for Applied AI, University of Kentucky（应用人工智能中心，肯塔基大学）；EduceLab, University of Kentucky（EduceLab，肯塔基大学）；Department of Medicine, Division of Cardiovascular Medicine and the Gill Heart and Vascular Institute, University of Kentucky（医学部，心血管医学分会和吉尔心脏和血管研究所，肯塔基大学）；Department of Radiology, College of Medicine, University of Kentucky（放射学部，医学院，肯塔基大学）
Coronary Artery Segmentation and Vessel-Type Classification in X-Ray Angiography
School of Computer Science, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran（计算机科学学院，基础科学研究所（IPM），德黑兰，伊朗）；Department of Physics, Shahid Beheshti University, Tehran, Iran（物理系，肖德·贝赫什提大学，德黑兰，伊朗）；Brain Mapping Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran（脑图谱研究中心，肖德·贝赫什提医学科学大学，德黑兰，伊朗）；Gilan University of Medical Sciences, Rasht, Gilan, Iran（加利良医学科学大学，拉什特，加利良，伊朗）；Department of Physics, Simon Fraser University, Burnaby, Canada（物理系，西蒙·弗雷泽大学，本比，加拿大）；Fatemeh Zahra Hospital, Alborz University of Medical Sciences, Eshtehard, Iran（法特梅·扎拉医院，阿尔博兹医学科学大学，埃什泰尔德，伊朗）；Rajaie Cardiovascular Medical and Research Institute, Iran University of Medical Sciences, Tehran, Iran（拉贾伊心血管医学与研究学院，伊朗医学科学大学，德黑兰，伊朗）
Facial Foundational Model Advances Early Warning of Coronary Artery Disease from Live Videos with DigitalShadow
Computer Science Program, Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST)（卡布斯科学技术大学计算机科学项目，计算机、电气与数学科学与工程系，国王 Abdullah 科学技术大学）；Center of Excellence for Smart Health, King Abdullah University of Science and Technology (KAUST)（智能健康卓越中心，国王 Abdullah 科学技术大学）；Center of Excellence on Generative AI, King Abdullah University of Science and Technology (KAUST)（生成式人工智能卓越中心，国王 Abdullah 科学技术大学）；Emergency Critical Care Center, Beijing AnZhen Hospital, Affiliated to Capital Medical University（北京安贞医院急诊重症中心，首都医科大学附属医院）；Tongji Hospital, Wuhan, China（武汉同济医院）；Shanxi Cardiovascular Hospital, China（山西心血管医院）；Beijing Changping Hospital, China（北京昌平医院）；Daqing Longnan Hospital, Daqing, China（大庆长寿医院，大庆，中国）；Tianjin Academy of Traditional Chinese Medicine Affiliated Hospital（天津中医学院附属医院）
FCM-DNN: diagnosing coronary artery disease by deep accuracy Fuzzy C-Means clustering model
University of Birjand（比尔詹德大学）；Deakin University（迪肯大学）；Iran University of Medical Sciences（伊朗医科大学）；Omid hospital（奥米德医院）；Maragheh Faculty of Medical Sciences（马拉盖医学院）；Universiti Kebangsaan Malaysia（马来西亚国民大学）
Deep learning based detection of collateral circulation in coronary angiographies
Siemens SRL（西门子有限责任公司）；Transilvania University of Brasov（布拉索夫特兰西瓦尼亚大学）；University Heart Center Lübeck（吕贝克大学心脏中心）；University Hospital（大学医院）；University Medical Centre Mannheim（曼海姆大学医学中心）；Heidelberg University（海德堡大学）
