Successfully implemented artificial intelligence and machine learning applications in cardiology: State-of-the-art review

被引:22
|
作者
Van den Eynde, Jef [1 ,2 ,5 ]
Lachmann, Mark [3 ,4 ]
Laugwitz, Karl-Ludwig [3 ,4 ]
Manlhiot, Cedric [1 ]
Kutty, Shelby [1 ]
机构
[1] Johns Hopkins Univ, Blalock Taussig Thomas Pediat & Congenital Heart C, Johns Hopkins Sch Med, Dept Pediat, Baltimore, MD USA
[2] Katholieke Univ Leuven, Dept Cardiovasc Sci, Leuven, Belgium
[3] Tech Univ Munich, Dept Med 1, Klinikum Rechts Isar, Munich, Germany
[4] DZHK German Ctr Cardiovasc Res, Partner Site Munich Heart Alliance, Munich, Germany
[5] Johns Hopkins Univ Hosp, 600 NWolfe St,1389 Blalock, Baltimore, MD 21287 USA
关键词
Artificial intelligence; Cardiac imaging techniques; Deep learning; Machine learning; Precision medicine; VENTRICULAR EJECTION FRACTION; NEUROLOGICALLY INTACT SURVIVAL; HOSPITAL CARDIAC-ARREST; HEART-FAILURE; EXTERNAL VALIDATION; FLOW RESERVE; INFORMATION; IDENTIFICATION; EXTRACTION; PROMISE;
D O I
10.1016/j.tcm.2022.01.010
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
The omnipresence and deep impact of artificial intelligence (AI) in today's society are undeniable. While the technology has already established itself as a powerful tool in several industries, more recently it has also started to change the practice of medicine. The aim of this review is to provide healthcare providers working in the field of cardiovascular medicine with an overview of AI and machine learning (ML) algorithms that have passed the initial tests and made it into contemporary clinical practice. The following domains where AI/ML could revolutionize cardiology are covered: (i) signal processing, (ii) image processing, (iii) clinical risk stratification, (iv) natural language processing, and (v) fundamental clinical discoveries.
引用
收藏
页码:265 / 271
页数:7
相关论文
共 50 条
  • [41] State-of-the-Art Artificial Intelligence Techniques for Distributed Smart Grids: A Review
    Ali, Syed Saqib
    Choi, Bong Jun
    ELECTRONICS, 2020, 9 (06) : 1 - 28
  • [42] Application of artificial intelligence techniques in incremental forming: a state-of-the-art review
    Aniket Nagargoje
    Pavan Kumar Kankar
    Prashant Kumar Jain
    Puneet Tandon
    Journal of Intelligent Manufacturing, 2023, 34 : 985 - 1002
  • [43] Artificial intelligence research in hospitality: a state-of-the-art review and future directions
    Law, Rob
    Lin, Katsy Jiaxin
    Ye, Huiyue
    Fong, Davis Ka Chio
    INTERNATIONAL JOURNAL OF CONTEMPORARY HOSPITALITY MANAGEMENT, 2024, 36 (06) : 2049 - 2068
  • [44] Artificial Intelligence and Structural Health Monitoring of Bridges: A Review of the State-of-the-Art
    Zinno, Raffaele
    Haghshenas, Sina Shaffiee
    Guido, Giuseppe
    VItale, Alessandro
    IEEE ACCESS, 2022, 10 : 88058 - 88078
  • [45] Artificial Intelligence (AI)-Empowered Echocardiography Interpretation: A State-of-the-Art Review
    Akkus, Zeynettin
    Aly, Yousof H.
    Attia, Itzhak Z.
    Lopez-Jimenez, Francisco
    Arruda-Olson, Adelaide M.
    Pellikka, Patricia A.
    Pislaru, Sorin, V
    Kane, Garvan C.
    Friedman, Paul A.
    Oh, Jae K.
    JOURNAL OF CLINICAL MEDICINE, 2021, 10 (07)
  • [46] Application of artificial intelligence techniques in incremental forming: a state-of-the-art review
    Nagargoje, Aniket
    Kankar, Pavan Kumar
    Jain, Prashant Kumar
    Tandon, Puneet
    JOURNAL OF INTELLIGENT MANUFACTURING, 2023, 34 (03) : 985 - 1002
  • [47] Emerging frontiers of artificial intelligence and machine learning in ischemic stroke: a comprehensive investigation of state-of-the-art methodologies, clinical applications, and unraveling challenges
    Yishu Fan
    Zhenshan Song
    Mengqi Zhang
    EPMA Journal, 2023, 14 : 645 - 661
  • [48] Emerging frontiers of artificial intelligence and machine learning in ischemic stroke: a comprehensive investigation of state-of-the-art methodologies, clinical applications, and unraveling challenges
    Fan, Yishu
    Song, Zhenshan
    Zhang, Mengqi
    EPMA JOURNAL, 2023, 14 (04): : 645 - 661
  • [49] Nanotechnology in interventional cardiology: A state-of-the-art review
    Almas, Talal
    Haider, Rakhshan
    Malik, Jahanzeb
    Mehmood, Asim
    Alvi, Areej
    Naz, Hifza
    Satti, Danish Iltaf
    Zaidi, Syed Muhammad Jawad
    AlSubai, Abdulla K.
    AlNajdi, Sara
    Alsufyani, Reema
    Ramtohul, Rahul Krylov
    Almesri, Abdullah
    Alsufyani, Majid
    Al-Bunnia, Abdulaziz H.
    Alghamdi, Haitham Ahmed S.
    Sattar, Yasar
    Alraies, M. Chadi
    Raina, Sameer
    IJC HEART & VASCULATURE, 2022, 43
  • [50] State-of-the-art of artificial intelligence in medicinal chemistry
    Bajorath, Jurgen
    FUTURE SCIENCE OA, 2021, 7 (06):