参考文献/References:
[1] Topol EJ. High-performance medicine:the convergence of human and artificial intelligence[J]. Nat Med,2019,25(1):44-56.
[2] Esteva A,Robicquet A,Ramsundar B,et al. A guide to deep learning in healthcare[J]. Nat Med,2019,25(1):24-29.
[3] Krittanawong C,Zhang H,Wang Z,et al. Artificial intelligence in precision?cardiovascular medicine[J]. J Am Coll Cardiol,2017,69(21):2657-2664.
[4] Lopez-Jimenez F,Attia Z,Arruda-Olson AM,et al. Artificial intelligence in cardiology:present and future[J]. Mayo Clin Proc,2020,95(5):1015-1039.
[5] Avendi MR,Kheradvar A,Jafarkhani H. A combined deep-learning and deformable-model approach to fully automatic segmentation of the left ventricle in cardiac MRI[J]. Med Image Anal,2016,30:108-119.
[6] Narula S,Shameer K,Salem Omar AM,et al. Machine learning algorithms to automate morphological and functional assessments in 2d echocardiography[J]. J Am Coll Cardiol,2016,68(21):2287-2295.
[7] Hannun AY,Rajpurkar P,Haghpanahi M,et al. Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network[J]. Nat Med,2019,25(1):65-69.
[8] Attia ZI,Kapa S,Lopez-Jimenez F,et al. Screening for cardiac contractile dysfunction using an artificial intelligence-enabled electrocardiogram[J]. Nat Med,2019,25(1):70-74.
[9] Martin G,Anton G,Borut B,et al. Machine learning and End-to-End deep learning for the detection of chronic heart failure from heart sounds[J]. IEEE Access,2020,8:20313-20324.
[10] Lin S,Li Z,Fu B,et al. Feasibility of using deep learning to detect coronary artery disease based on facial photo[J]. Eur Heart J,2020,41(46):4400-4411.
[11] Yan BP,Lai W,Chan C,et al. High-throughput,contact-free detection of atrial fibrillation from video with deep learning[J]. JAMA Cardiol,2019,5(1):105-107.
[12] Diller GP,Kempny A,Babu-Narayan SV,et al. Machine learning algorithms estimating prognosis and guiding therapy in adult congenital heart disease:data from a single tertiary centre including 10019 patients[J]. Eur Heart J,2019,40(13):1069-1077.
[13] Zack CJ,Senecal C,Kinar Y,et al. Leveraging machine learning techniques to forecast patient prognosis after percutaneous coronary intervention[J]. JACC Cardiovasc Interv,2019,12(14):1304-1311.
[14] Cikes M,Sanchez-Martinez S,Claggett B,et al. Machine learning-based phenogrouping in heart failure to identify responders to cardiac resynchronization therapy[J]. Eur J Heart Fail,2019,21(1):74-85.
[15] Kakadiaris IA,Vrigkas M,Yen AA,et al. Machine learning outperforms ACC/AHA CVD risk calculator in MESA[J]. J Am Heart Assoc,2018,7(22):e009476.
[16] Arruda-Olson AM,Afzal N,Priya Mallipeddi V,et al. Leveraging the electronic health record to create an automated real-time prognostic tool for peripheral arterial disease[J]. J Am Heart Assoc,2018,7(23):e009680.
[17] Green A. Outcomes of congenital heart disease:a review[J]. Pediatr Nurs,2004,30:280-284.
[18] Pace DF,Dalca AV,Geva T,et al. Interactive whole-heart segmentation in congenital heart disease[J]. Med Image Comput Comput Assist Interv,2015,9351:80-88.
[19] Anwar S, Singh GK, Miller J,et al. 3D printing is a transformative technology in congenital heart disease[J].JACC Basic Transl Sci,2018,3(2):294-312.
[20] Yoo JS,Reddy YNV,Kim KH. Heart transplantation for dextrocardia:preoperative planning using 3D printing[J]. Eur Heart J Cardiovasc Imaging,2020,21(3):346.
[21] Anwar S,Singh GK,Varughese J,et al. 3D printing in complex congenital heart?disease:across a spectrum of age,pathology,and imaging?techniques[J]. JACC Cardiovasc Imaging,2017,10(8):953-956.
[22] Stepanenko A,Redondo Diéguez A,di Stefano S,et al. 3D-printing for planning an intrapericardial ventricular assist device placement in case of complex anatomy[J]. Eur Heart J Cardiovasc Imaging,2020,21(7):821.
[23] Colbert CM,Shao J,Hollowed JJ,et al. 3D-Printed coronary implants are effective for percutaneous creation of swine models with focal coronary stenosis[J]. J Cardiovasc Transl Res,202013(6):1033-1043.
[24] So CY,Fan Y,Wu EB,et al. Anticipating coronary obstruction with three-dimensional printing in transcatheter aortic valve implantation[J]. EuroIntervention,2020,15(16):1424-1425.
[25] El Sabbagh A, Eleid MF, Matsumoto JM,et al.?Three-dimensional prototyping for procedural simulation of transcatheter mitral valve replacement in patients with mitral annular calcification[J].Catheter Cardiovasc Interv,2018,92(7):E537-E549.
[26] Hansen JH, Duong P, Jivanji SGM,et al. Transcatheter correction of superior sinus venosus atrial septal defects as an alternative to surgical treatment[J]. JACC,2020,75(11):1266-1278.
[27] Yan CW,Wang C,Pan XB,et al. Three-dimensional printing assisted transcatheter closure of atrial septal defect with deficient posterior-inferior rim[J]. Catheter Cardiovasc Interv,2018,92(7):1309-1314.
[28] Chaowu Y,Hua L,Xin S. Three-dimensional printing as an aid in transcatheter closure of secundum atrial septal defect with rim deficiency:in vitro trial occlusion based on a personalized heart model[J]. Circulation,2016,133(17):e608-610.
[29] Bhatla P,Mosca RS,Tretter JT. Altering management decisions with gained anatomical insight from a 3D printed model of a complex ventricular septal defect[J]. Cardiol Young,2017,27(2):377-380.
[30] Robinson SS, Alaie S, Sidoti H,et al. Patient-specific design of a soft occluder for the left atrial appendage[J]. Nat Biomed Eng,2018,2(1):8-16.
[31] Wang C,Zhang L,Qin T,et al. 3D printing in adult cardiovascular surgery and interventions:a systematic review[J]. J Thorac Dis,2020,12(6):3227-3237.
相似文献/References:
[1]白春兰,张军.正五聚蛋白-3:新型心血管病炎性标志物[J].心血管病学进展,2016,(1):87.[doi:10.16806/j.cnki.issn.1004-3934.2016.01.023]
BAI Chunlan,ZHANG Jun.Pentraxin-3: A Novel Inflammation Biomarker for Cardiovascular Disease[J].Advances in Cardiovascular Diseases,2016,(4):87.[doi:10.16806/j.cnki.issn.1004-3934.2016.01.023]
[2]任茂佳,贺文帅,张琪,等.围绝经期对心血管疾病相关危险因素的影响[J].心血管病学进展,2019,(6):911.[doi:10.16806/j.cnki.issn.1004-3934.2019.06.018]
REN Maojia,HE Wenshuai,ZHANG Qi,et al.Effects of Perimenopause on Cardiovascular Risk Factors[J].Advances in Cardiovascular Diseases,2019,(4):911.[doi:10.16806/j.cnki.issn.1004-3934.2019.06.018]
[3]尹琳 黄从新.JP2蛋白和心血管疾病的研究进展[J].心血管病学进展,2019,(7):1004.[doi:10.16806/j.cnki.issn.1004-3934.2019.07.010]
YIN Lin HUANG Congxin.Research Progress of JP2 Protein and Cardiovascular Disease[J].Advances in Cardiovascular Diseases,2019,(4):1004.[doi:10.16806/j.cnki.issn.1004-3934.2019.07.010]
[4]朱峰 汪汉 蔡琳.抗体与心血管疾病[J].心血管病学进展,2019,(7):1007.[doi:10.16806/j.cnki.issn.1004-3934.2019.07.011]
ZHU FengWANG HanCAI Lin.Antibodies and Cardiovascular Disease[J].Advances in Cardiovascular Diseases,2019,(4):1007.[doi:10.16806/j.cnki.issn.1004-3934.2019.07.011]
[5]邱明仙 王正龙 许官学.心肌肌球蛋白结合蛋白-C磷酸化与心血管疾病关系的研究进展[J].心血管病学进展,2019,(7):1015.[doi:10.16806/j.cnki.issn.1004-3934.2019.07.013]
QIU MingxianWANG ZhenglongXU Guanxue.Research Progress of the Relationship Between Cardiac Myosin Binding Protein-C and Cardiovascular Disease[J].Advances in Cardiovascular Diseases,2019,(4):1015.[doi:10.16806/j.cnki.issn.1004-3934.2019.07.013]
[6]姬楠楠 杨晓静 谢勇.单核细胞/高密度脂蛋白比值与心血管疾病的研究进展[J].心血管病学进展,2019,(7):1019.[doi:10.16806/j.cnki.issn.1004-3934.2019.07.014]
JI Nannan YANG Xiaojing XIE Yong.Monocyte/High-density Lipoprotein Ratio and Cardiovascular Disease[J].Advances in Cardiovascular Diseases,2019,(4):1019.[doi:10.16806/j.cnki.issn.1004-3934.2019.07.014]
[7]侯冬华 郝丽荣.长正五聚蛋白3在动脉粥样硬化和心血管疾病中作用研究的新进展[J].心血管病学进展,2019,(5):805.[doi:10.16806/j.cnki.issn.1004-3934.2019.05.035]
HOU Donghua H AO Lirong.The Study of Atherosclerosis and Cardiovascular Diseases with Pentapycin 3[J].Advances in Cardiovascular Diseases,2019,(4):805.[doi:10.16806/j.cnki.issn.1004-3934.2019.05.035]
[8]张维 张恒 康品方.外泌体在心血管疾病中的研究进展[J].心血管病学进展,2019,(5):818.[doi:10.16806/j.cnki.issn.1004-3934.2019.05.038]
Zhang WeiKang Pinfang.Exosome in Cardiovascular Diseases[J].Advances in Cardiovascular Diseases,2019,(4):818.[doi:10.16806/j.cnki.issn.1004-3934.2019.05.038]
[9]韦莹 刘书旺 李蕾 崔鸣.生长分化因子-15在心房颤动中的研究进展[J].心血管病学进展,2019,(8):1073.[doi:10.16806/j.cnki.issn.1004-3934.2019.08.001]
WEI Ying,LIU Shuwang,LI Lei,et al.Growth Differentiation Factor-15 in Development of Atrial Fibrillation[J].Advances in Cardiovascular Diseases,2019,(4):1073.[doi:10.16806/j.cnki.issn.1004-3934.2019.08.001]
[10]李海威 姜红 李宪伦.射血分数保留性心力衰竭患者运动康复的研究进展[J].心血管病学进展,2019,(8):1146.[doi:10.16806/j.cnki.issn.1004-3934.2019.08.019]
LI Haiwei,JIANG Hong,LI Xianlun.Exercise Rehabilitation in Patients with Heart Failure with Preserved Ejection Fraction[J].Advances in Cardiovascular Diseases,2019,(4):1146.[doi:10.16806/j.cnki.issn.1004-3934.2019.08.019]
[11]渠海贤 李涛 程流泉.人工智能在心脏磁共振成像中的应用进展[J].心血管病学进展,2019,(5):659.[doi:10.16806/j.cnki.issn.1004-3934.2019.05.001]
[12]王苏淮 李晶洁.机器学习在心血管疾病中的临床应用进展[J].心血管病学进展,2021,(2):144.[doi:10.16806/j.cnki.issn.1004-3934.2021.02.013]
WANG Suhuai,LI Jingjie.Clinical Applications of Machine Learning in Cardiovascular Disease[J].Advances in Cardiovascular Diseases,2021,(4):144.[doi:10.16806/j.cnki.issn.1004-3934.2021.02.013]
[13]王继航 田进文 王建 郭毅 周星儿 付振虹 沈明志 刘亮.基于人工智能可穿戴设备及物联网的胸痛区域平台研究进展[J].心血管病学进展,2021,(6):492.[doi:10.16806/j.cnki.issn.1004-3934.2021.06.004]
WANG JihangTIAN JinwenWANG JianGUO YiZHOU XingerGUO utingFU ZhenhongSHEN MingzhiLIU Liang.Chest Pain Area Platform based on Artificial Intelligence Wearable Devices and Internet of Things[J].Advances in Cardiovascular Diseases,2021,(4):492.[doi:10.16806/j.cnki.issn.1004-3934.2021.06.004]
[14]中国智慧化血管健康全生命周期数字管理分级诊疗实践指南编写组 中国医药教育协会血管医学专业委员会 中国研究型医院学会移动医疗专业委员会 北京大学医学部血管健康研究中心 分子心血管学教育部重点实验室(北京大学).中国智慧化血管健康全生命周期数字管理分级诊疗实践指南(2022第一次报告)[J].心血管病学进展,2023,(1):71.[doi:10.16806/j.cnki.issn.1004-3934.2023.01.017]
China Medicine Education Association Vascular Medicine Professional Committee,et al..Digital Hierarchic Healthcare Clinical Practice Guideline for Intellectualized Whole-life Vascular Health Management in China[J].Advances in Cardiovascular Diseases,2023,(4):71.[doi:10.16806/j.cnki.issn.1004-3934.2023.01.017]
[15]姚圣森 武晓静.语音技术应用于心血管疾病管理和监测的研究进展[J].心血管病学进展,2023,(6):506.[doi:10.16806/j.cnki.issn.1004-3934.2023.06.006]
YAO Shengsen,WU Xiaojing.Research Advances on Speech Technology for Cardiovascular Disease Management and Monitoring[J].Advances in Cardiovascular Diseases,2023,(4):506.[doi:10.16806/j.cnki.issn.1004-3934.2023.06.006]