How Machine Learning Might Help Improve Cardiac Imaging

被引：0
|
作者：
Anderer, Samantha
Hswen, Yulin
机构：
来源：
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION | 2024年 / 331卷 / 12期
关键词：
D O I：
10.1001/jama.2023.23070
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
摘要：
In this Medical News interview, University of California, San Francisco, cardiologist Rima Arnaout, joins JAMA Editor in Chief Kirsten Bibbins-Domingo to discuss the transformative potential of AI on cardiac imaging.
引用
收藏
页码：995 / 997
页数：3
相关论文
共 50 条
  • [41] Machine Learning in Cardiac Imaging: Exploring the Art of Cluster Analysis
    Namasivayam, Mayooran
    JOURNAL OF THE AMERICAN SOCIETY OF ECHOCARDIOGRAPHY, 2021, 34 (08) : 913 - 915
  • [42] What and how can machine learning help to decipher mechanisms in molecular electrochemistry?
    Sun, Jingwen
    Liu, Chong
    CURRENT OPINION IN ELECTROCHEMISTRY, 2023, 39
  • [43] PROBLEMS OF FEDERAL COURTS - HOW STATE COURTS MIGHT HELP
    ANDERSON, LL
    AMERICAN BAR ASSOCIATION JOURNAL, 1968, 54 (APR): : 352 - 356
  • [44] How saccadic vision might help with the interpretability of deep networks
    Sereda, Iana
    Osipov, Grigory
    2021 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2021,
  • [45] Placenta Imaging Might Help Diagnose Early Pregnancy Complications
    不详
    RADIOLOGIC TECHNOLOGY, 2020, 91 (03) : 289 - 289
  • [46] Great partners: how deep learning and blockchain help improve business operations together
    Luo, Suyuan
    Choi, Tsan-Ming
    ANNALS OF OPERATIONS RESEARCH, 2024, 339 (1-2) : 53 - 78
  • [47] MACHINE LEARNING MODELS SIGNIFICANT IMPROVE OUTCOME PREDICTION AFTER CARDIAC ARREST
    Nanayakkara, Shane
    Fogarty, Sam
    Ross, Kelvin
    Milosevic, Zoran
    Richards, Brent
    Liew, Danny
    Stub, Dion
    Pilcher, David
    Kaye, David
    JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2018, 71 (11) : 775 - 775
  • [48] How Might We Improve HCI on a Platform Designed to Improve Interagency Collaboration?
    Martin, Beth A.
    White, Basil
    Traquair, Jason
    HCI INTERNATIONAL 2024-LATE BREAKING POSTERS, HCII 2024, PT I, 2025, 2319 : 113 - 117
  • [49] How do machine learning techniques help in increasing accuracy of landslide susceptibility maps?
    Yacine Achour
    Hamid Reza Pourghasemi
    Geoscience Frontiers, 2020, 11 (03) : 871 - 883
  • [50] How machine learning can help select capping layers to suppress perovskite degradation
    Noor Titan Putri Hartono
    Janak Thapa
    Armi Tiihonen
    Felipe Oviedo
    Clio Batali
    Jason J. Yoo
    Zhe Liu
    Ruipeng Li
    David Fuertes Marrón
    Moungi G. Bawendi
    Tonio Buonassisi
    Shijing Sun
    Nature Communications, 11
12345