Artificial Intelligence to Improve Risk Prediction with Nuclear Cardiac Studies

被引：0
作者：
Luis Eduardo Juarez-Orozco
Riku Klén
Mikael Niemi
Bram Ruijsink
Gustavo Daquarti
Rene van Es
Jan-Walter Benjamins
Ming Wai Yeung
Pim van der Harst
Juhani Knuuti
机构：
[1] University Medical Center Utrecht,Department of Cardiology, Division Heart & Lungs
[2] Utrecht University,Turku PET Centre
[3] University of Turku and Turku University Hospital,Department of Cardiology
[4] University of Groningen,Division of Imaging Sciences and Biomedical Engineering
[5] University Medical Center Groningen,Department of Artificial Intelligence
[6] King’s College London,undefined
[7] St Thomas’ Hospital,undefined
[8] UMA-Health,undefined
来源：
Current Cardiology Reports | 2022年 / 24卷
关键词：
Nuclear cardiology; Artificial intelligence; Risk prediction; Deep learning;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：307 / 316
页数：9
相关论文
共 50 条
  • [21] Artificial intelligence for nuclear medicine in oncology
    Hirata, Kenji
    Sugimori, Hiroyuki
    Fujima, Noriyuki
    Toyonaga, Takuya
    Kudo, Kohsuke
    [J]. ANNALS OF NUCLEAR MEDICINE, 2022, 36 (02) : 123 - 132
  • [22] Artificial intelligence for nuclear medicine in oncology
    Kenji Hirata
    Hiroyuki Sugimori
    Noriyuki Fujima
    Takuya Toyonaga
    Kohsuke Kudo
    [J]. Annals of Nuclear Medicine, 2022, 36 : 123 - 132
  • [23] Artificial intelligence technologies in nuclear medicine
    Tamam, Muge Oner
    Tamam, Muhlis Can
    [J]. WORLD JOURNAL OF RADIOLOGY, 2022, 14 (06): : 151 - 154
  • [24] Prediction of sudden cardiac death using artificial intelligence: Current status and future directions
    Kolk, Maarten Z. H.
    Ruiperez-Campillo, Samuel
    Wilde, Arthur A. M.
    Knops, Reinoud E.
    Narayan, Sanjiv M.
    Tjong, Fleur V. Y.
    [J]. HEART RHYTHM, 2025, 22 (03) : 756 - 766
  • [25] The Role of Artificial Intelligence in Cardiac Imaging
    Onnis, Carlotta
    van Assen, Marly
    Muscogiuri, Emanuele
    Muscogiuri, Giuseppe
    Gershon, Gabrielle
    Saba, Luca
    De Cecco, Carlo N.
    [J]. RADIOLOGIC CLINICS OF NORTH AMERICA, 2024, 62 (03) : 473 - 488
  • [26] Editorial: Artificial intelligence in cardiac rhythmology
    Saglietto, Andrea
    Cavallone, Elena
    Spartalis, Michael
    Vandenberk, Bert
    Anselmino, Matteo
    [J]. FRONTIERS IN CARDIOVASCULAR MEDICINE, 2024, 11
  • [27] Artificial intelligence in cardiac computed tomography
    Aromiwura, Afolasayo A.
    Settle, Tyler
    Joshi, Jonathan
    Shotwell, Matthew
    Mattumpuram, Jishanth
    Vorla, Mounica
    Sztukowska, Maryta
    Contractor, Sohail
    Amini, Amir
    Kalra, Dinesh K.
    [J]. PROGRESS IN CARDIOVASCULAR DISEASES, 2023, 81 : 54 - 77
  • [28] Current status and future directions in artificial intelligence for nuclear cardiology
    Miller, Robert J. H.
    Slomka, Piotr J.
    [J]. EXPERT REVIEW OF CARDIOVASCULAR THERAPY, 2024, 22 (08) : 367 - 378
  • [29] ULTRASONOGRAPHY MAY IMPROVE OSTEOARTHRITIS PAIN PREDICTION: AN ARTIFICIAL INTELLIGENCE APPROACH
    Mehta, B.
    Choi, Y.
    Gibbons, J. A.
    Goodman, S.
    Orange, D.
    Otero, M.
    Ibrahim, S.
    Fontana, M.
    Sculco, P.
    Figgie, M.
    Rodriguez, J.
    Lee, S.
    Mintz, D.
    Wang, F.
    Nwawka, O.
    [J]. ANNALS OF THE RHEUMATIC DISEASES, 2023, 82 : 267 - 268
  • [30] Credit risk prediction in Colombia using artificial intelligence techniques
    Borrero-Tigreros, Diego
    Bedoya-Leiva, Oscar
    [J]. UIS INGENIERIAS, 2020, 19 (04): : 37 - 52
12345