Artificial intelligence in prenatal cardiac diagnostics

被引：3
|
作者：
Weichert, Jan [1 ,2 ]
Welp, Amrei [1 ]
Scharf, Jann Lennard [1 ]
Dracopoulos, Christoph [1 ]
Rody, Achim [1 ]
Gembicki, Michael [1 ]
机构：
[1] Univ Klinikum Schleswig Holstein, Bereich Pranatalmed & Spezielle Geburtshilfe, Klin Frauenheilkunde & Geburtshilfe, Campus Lubeck, Lubeck, Germany
[2] Zentrum Pranatalmed Elbe, Hamburg, Germany
来源：
GYNAKOLOGE | 2022年 / 55卷 / 01期
关键词：
Echocardiography; Ultrasound; Pregnancy; high-risk; Cardiovascular diseases; Interobserver variability; FETAL HEART; FUTURE; TRACKING;
D O I：
10.1007/s00129-021-04890-6
中图分类号：
R71 [妇产科学];
学科分类号：
100211 ;
摘要：
The prenatal detection rates of fetal heart defects have remained low despite the implementation of national and international screening programs. The detection rates in the low-risk population range from 22.5% to 52.8%. Promising approaches for improved detection rates could include automated applications of artificial intelligence (AI). With reference to novel and already established AI solutions from adult cardiology, this review discusses the possibilities and limitations of AI algorithms for fetal echocardiography.
引用
收藏
页码：22 / 31
页数：10
相关论文
共 50 条
  • [31] Artificial intelligence in hematological diagnostics: Game changer or gadget?
    Walter, Wencke
    Pohlkamp, Christian
    Meggendorfer, Manja
    Nadarajah, Niroshan
    Kern, Wolfgang
    Haferlach, Claudia
    Haferlach, Torsten
    [J]. BLOOD REVIEWS, 2023, 58
  • [32] Federated Learning for Decentralized Artificial Intelligence in Melanoma Diagnostics
    Haggenmueller, Sarah
    Schmitt, Max
    Krieghoff-Henning, Eva
    Hekler, Achim
    Maron, Roman C.
    Wies, Christoph
    Utikal, Jochen S.
    Meier, Friedegund
    Hobelsberger, Sarah
    Gellrich, Frank F.
    Sergon, Mildred
    Hauschild, Axel
    French, Lars E.
    Heinzerling, Lucie
    Schlager, Justin G.
    Ghoreschi, Kamran
    Schlaak, Max
    Hilke, Franz J.
    Poch, Gabriela
    Korsing, Soeren
    Berking, Carola
    Heppt, Markus V.
    Erdmann, Michael
    Haferkamp, Sebastian
    Drexler, Konstantin
    Schadendorf, Dirk
    Sondermann, Wiebke
    Goebeler, Matthias
    Schilling, Bastian
    Kather, Jakob N.
    Froehling, Stefan
    Brinker, Titus J.
    [J]. JAMA DERMATOLOGY, 2024, 160 (03) : 303 - 311
  • [33] The right to refuse diagnostics and treatment planning by artificial intelligence
    Thomas Ploug
    Søren Holm
    [J]. Medicine, Health Care and Philosophy, 2020, 23 : 107 - 114
  • [34] Artificial intelligence in echocardiography diagnostics - detection of takotsubo syndrome
    Di Vece, D.
    Laumer, F.
    Schwyzer, M.
    Burkholz, R.
    Corinzia, L.
    Cammann, V. L.
    Citro, R.
    Bax, J.
    Ghadri, J. R.
    Buhmann, J. M.
    Templin, C.
    [J]. EUROPEAN HEART JOURNAL, 2020, 41 : 1221 - 1221
  • [35] Review on Artificial Intelligence Applications in Material Diagnostics and Technology
    Jancikova, Zora Kostialova
    Kostial, Pavel
    Heger, Milan
    Frischer, Robert
    David, Jiri
    Spicka, Ivo
    Garzinova, Romana
    Ruziak, Ivan
    Spackova, Hana
    [J]. 22ND INTERNATIONAL CONFERENCE ON CIRCUITS, SYSTEMS, COMMUNICATIONS AND COMPUTERS (CSCC 2018), 2018, 210
  • [36] Artificial Intelligence in the Dermatological Diagnostics: The Skin Classification Project
    Brinker, T. J.
    Enk, A.
    Schadendorf, D.
    Berking, C.
    von Kalle, C.
    [J]. JOURNAL DER DEUTSCHEN DERMATOLOGISCHEN GESELLSCHAFT, 2018, 16 : 7 - 7
  • [37] Image analysis and artificial intelligence in infectious disease diagnostics
    Smith, K. P.
    Kirby, J. E.
    [J]. CLINICAL MICROBIOLOGY AND INFECTION, 2020, 26 (10) : 1318 - 1323
  • [38] ARTIFICIAL-INTELLIGENCE FOR TURBINE-ENGINE DIAGNOSTICS
    PETTIGREW, JL
    [J]. AEROSPACE ENGINEERING, 1995, 15 (02) : 9 - 13
  • [39] Application of Artificial Intelligence Technologies for Diagnostics of Production Structures
    Chernyi, Sergei
    Emelianov, Vitalii
    Zinchenko, Elena
    Zinchenko, Anton
    Tsvetkova, Olga
    Mishin, Aleksandr
    [J]. JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2022, 10 (02)
  • [40] Artificial intelligence techniques applied to railcar fault diagnostics
    Athanassakopoulos, DT
    [J]. IC-AI'2001: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOLS I-III, 2001, : 1477 - 1483
12345