Artificial intelligence-enhanced exposomics: novel insights into cardiovascular health

被引:4
|
作者
Khera, Rohan [1 ,2 ,3 ,4 ]
机构
[1] Yale Sch Med, Dept Internal Med, Sect Cardiovasc Med, 195 Church St,6th Floor, New Haven, CT 06510 USA
[2] Yale Sch Publ Hlth, Dept Biostat, New Haven, CT 06520 USA
[3] Yale Sch Med, Sect Biomed Informat & Data Sci, New Haven, CT 06520 USA
[4] Yale New Haven Hosp, Ctr Outcomes Res & Evaluat, New Haven, CT 06510 USA
基金
美国国家卫生研究院;
关键词
RISK;
D O I
10.1093/eurheartj/ehae159
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
引用
收藏
页码:1550 / 1552
页数:3
相关论文
共 50 条
  • [1] Artificial intelligence-enhanced electrocardiography in cardiovascular disease management
    Siontis, Konstantinos C.
    Noseworthy, Peter A.
    Attia, Zachi I.
    Friedman, Paul A.
    NATURE REVIEWS CARDIOLOGY, 2021, 18 (07) : 465 - 478
  • [2] Artificial intelligence-enhanced electrocardiography in cardiovascular disease management
    Konstantinos C. Siontis
    Peter A. Noseworthy
    Zachi I. Attia
    Paul A. Friedman
    Nature Reviews Cardiology, 2021, 18 : 465 - 478
  • [3] ARTIFICIAL INTELLIGENCE-ENHANCED ECG IDENTIFICATION OF PREVIOUSLY UNRECOGNIZED CARDIOVASCULAR DISEASES
    Yao, Xiaoxi
    Rushlow, David
    Inselman, Jonathan
    McCoy, Rozalina
    Thacher, Thomas
    Behnken, Emma
    Bernard, Matthew
    Rosas, Steven
    Akfaly, Abdulla
    Artika, Fnu
    Molling, Paul
    Krien, Joseph
    Foss, Randy
    Barry, Barbara
    Siontis, Konstantinos
    Kapa, Suraj
    Pellikka, Patricia
    Lopez-Jimenez, Francisco
    Attia, Zachi Itzhak
    Shah, Nilay
    Friedman, Paul
    Noseworthy, Peter
    JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2021, 77 (18) : 3044 - 3044
  • [4] Artificial Intelligence-Enhanced Breast MRI
    Lo Gullo, Roberto
    Marcus, Eric
    Huayanay, Jorge
    Eskreis-Winkler, Sarah
    Thakur, Sunitha
    Teuwen, Jonas
    Pinker, Katja
    INVESTIGATIVE RADIOLOGY, 2024, 59 (03) : 230 - 242
  • [5] Artificial intelligence-enhanced electrocardiography for accurate diagnosis and management of cardiovascular diseases
    Muzammil, Muhammad Ali
    Javid, Saman
    Afridi, Azra Khan
    Siddineni, Rupini
    Shahabi, Mariam
    Haseeb, Muhammad
    Fariha, F. N. U.
    Kumar, Satesh
    Zaveri, Sahil
    Nashwan, Abdulqadir J.
    JOURNAL OF ELECTROCARDIOLOGY, 2024, 83 : 30 - 40
  • [6] Artificial Intelligence-Enhanced UUV Actuator Control
    Wang, Zhiyu
    Sands, Timothy
    AI, 2023, 4 (01) : 270 - 288
  • [7] Artificial intelligence-enhanced echocardiography in the emergency department
    Stewart, Jonathon E.
    Goudie, Adrian
    Mukherjee, Ashes
    Dwivedi, Girish
    EMERGENCY MEDICINE AUSTRALASIA, 2021, 33 (06) : 1117 - 1120
  • [8] Prediction of mortality, future arrhythmia and cardiovascular disease: an artificial intelligence-enhanced electrocardiography platform
    Sau, A.
    Pastika, L.
    Sieliwonczyk, E.
    Patlatzoglou, K.
    Ribeiro, A. H.
    Mcgurk, K.
    Zeidaabadi, B.
    Zhang, H.
    Macierzanka, K.
    Peters, N. S.
    Ware, J. S.
    Ribeiro, A. L. P.
    Kramer, D. B.
    Waks, J. W.
    Ng, F. S.
    EUROPEAN HEART JOURNAL, 2024, 45
  • [9] Artificial Intelligence-Enhanced Electrocardiography for Prediction of Incident Hypertension
    Sau, Arunashis
    Barker, Joseph
    Pastika, Libor
    Sieliwonczyk, Ewa
    Patlatzoglou, Konstantinos
    Mcgurk, Kathryn A.
    Peters, Nicholas S.
    O'Regan, Declan P.
    Ware, James S.
    Kramer, Daniel B.
    Waks, Jonathan W.
    Ng, Fu Siong
    JAMA CARDIOLOGY, 2025, 10 (03) : 214 - 223
  • [10] Artificial Intelligence-Enhanced Echocardiography for Systolic Function Assessment
    Zhang, Zisang
    Zhu, Ye
    Liu, Manwei
    Zhang, Ziming
    Zhao, Yang
    Yang, Xin
    Xie, Mingxing
    Zhang, Li
    JOURNAL OF CLINICAL MEDICINE, 2022, 11 (10)