Digital medicine: the next big leap advancing cardiovascular science

被引:1
作者
Kharlamov, Alexander [1 ,2 ,5 ]
Lamberts, Morten [3 ,4 ]
机构
[1] De Haar Res Fdn DHRF, Adv Cardiovasc Imaging Lab, Tallinn, Estonia
[2] De Haar Res Task Force, Innovat Lab, Rotterdam, Netherlands
[3] Univ Copenhagen, Dept Clin Med, Copenhagen, Denmark
[4] Herlev Gentofte Univ Hosp, Dept Cardiol, Herlev, Denmark
[5] DHRF, Keurenplein 41,G9950, NL-1069 CD Amsterdam, Netherlands
关键词
ARTIFICIAL-INTELLIGENCE; CARDIOLOGY;
D O I
10.1186/s12872-022-02971-5
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Solid clinical and academic leadership remains necessary to ensure that healthcare based on digital technologies is relevant, meaningful, and stands on the best possible evidence. This compendium accompanying the "Digital Technologies in Cardiovascular Disorders " article collection in BMC Cardiovascular Disorders summarizes recent knowledge about robust and advanced digital tools for preventing, monitoring, diagnosing, and treating cardiovascular diseases.
引用
收藏
页数:3
相关论文
共 11 条
[1]   Patient-initiated cardiovascular monitoring with commercially available devices: How useful is it in a cardiology outpatient setting? Mixed methods, observational study [J].
A'Court, Christine ;
Jenkins, Wilfred ;
Reidy, Claire ;
Papoutsi, Chrysanthi .
BMC CARDIOVASCULAR DISORDERS, 2022, 22 (01)
[2]   Artificial Intelligence in Cardiovascular Imaging JACC State-of-the-Art Review [J].
Dey, Damini ;
Slomka, Piotr J. ;
Leeson, Paul ;
Comaniciu, Dorin ;
Shrestha, Sirish ;
Sengupta, Partho P. ;
Marwick, Thomas H. .
JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2019, 73 (11) :1317-1335
[3]  
health.ec.europa.eu, EU4HEALTH PROGRAMME
[4]   Artificial Intelligence in Cardiology [J].
Johnson, Kipp W. ;
Soto, Jessica Torres ;
Glicksberg, Benjamin S. ;
Shameer, Khader ;
Miotto, Riccardo ;
Ali, Mohsin ;
Ashley, Euan ;
Dudley, Joel T. .
JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2018, 71 (23) :2668-2679
[5]  
Johnson Kipp W, 2017, JACC Basic Transl Sci, V2, P311, DOI 10.1016/j.jacbts.2016.11.010
[6]   Artificial Intelligence in Precision Cardiovascular Medicine [J].
Krittanawong, Chayakrit ;
Zhang, HongJu ;
Wang, Zhen ;
Aydar, Mehmet ;
Kitai, Takeshi .
JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2017, 69 (21) :2657-2664
[7]   Stable patients with suspected myocardial ischemia: comparison of machine-learning computed tomography-based fractional flow reserve and stress perfusion cardiovascular magnetic resonance imaging to detect myocardial ischemia [J].
Lossnitzer, Dirk ;
Klenantz, Selina ;
Andre, Florian ;
Goerich, Johannes ;
Schoepf, U. Joseph ;
Pazzo, Kyle L. ;
Sommer, Andre ;
Brado, Matthias ;
Gueckel, Friedemann ;
Sokiranski, Roman ;
Becher, Tobias ;
Akin, Ibrahim ;
Buss, Sebastian J. ;
Baumann, Stefan .
BMC CARDIOVASCULAR DISORDERS, 2022, 22 (01)
[8]   Machine Learning and the Future of Cardiovascular Care JACC State-of-the-Art Review [J].
Quer, Giorgio ;
Arnaout, Ramy ;
Henne, Michael ;
Arnaout, Rima .
JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2021, 77 (03) :300-313
[9]   Measuring and modeling whole-brain neural dynamics in Caenorhabditis elegans [J].
Randi, Francesco ;
Leifer, Andrew M. .
CURRENT OPINION IN NEUROBIOLOGY, 2020, 65 :167-175
[10]   Impact of Artificial Intelligence on Interventional Cardiology From Decision-Making Aid to Advanced Interventional Procedure Assistance [J].
Sardar, Partha ;
Abbott, J. Dawn ;
Kundu, Amartya ;
Aronow, Herbert D. ;
Granada, Juan F. ;
Giri, Jay .
JACC-CARDIOVASCULAR INTERVENTIONS, 2019, 12 (14) :1293-1303