Understanding artificial intelligence based radiology studies: What is overfitting?

被引：124
|
作者：
Mutasa, Simukayi [1 ]
Sun, Shawn [1 ]
Ha, Richard [1 ]
机构：
[1] Columbia Univ, New York Presbyterian Hosp, Med Ctr, 622 West 168th St,PB-1-301, New York, NY 10032 USA
来源：
CLINICAL IMAGING | 2020年 / 65卷 / 65期
关键词：
Overfitting; Artificial intelligence; Machine learning; NEURAL-NETWORKS;
D O I：
10.1016/j.clinimag.2020.04.025
中图分类号：
R8 [特种医学]; R445 [影像诊断学];
学科分类号：
1002 ; 100207 ; 1009 ;
摘要：
Artificial intelligence (AI) is a broad umbrella term used to encompass a wide variety of subfields dedicated to creating algorithms to perform tasks that mimic human intelligence. As AI development grows closer to clinical integration, radiologists will need to become familiar with the principles of artificial intelligence to properly evaluate and use this powerful tool. This series aims to explain certain basic concepts of artificial intelligence, and their applications in medical imaging starting with a concept of overfitting.
引用
收藏
页码：96 / 99
页数：4
相关论文
共 50 条
  • [21] Artificial Intelligence and Radiology Education
    Tejani, Ali S.
    Elhalawani, Hesham
    Moy, Linda
    Kohli, Marc
    Kahn, Charles E.
    RADIOLOGY-ARTIFICIAL INTELLIGENCE, 2023, 5 (01)
  • [22] Application of artificial intelligence to radiology
    Deyer, Timothy
    Doshi, Amish
    ANNALS OF TRANSLATIONAL MEDICINE, 2019, 7 (11)
  • [23] Artificial intelligence in dentomaxillofacial radiology
    Gokdeniz, Seyide Tugce
    Kamburoglu, Kivanc
    WORLD JOURNAL OF RADIOLOGY, 2022, 14 (03):
  • [24] Artificial Intelligence in Interventional Radiology
    Kallini, Joseph R.
    Moriarty, John M.
    SEMINARS IN INTERVENTIONAL RADIOLOGY, 2022, 39 (03) : 341 - 347
  • [25] Artificial Intelligence in Radiology for Ethiopia
    Mekonen, Kumlachew Abate
    Mohammed, Shimels Hussien
    Kebede, Tesfaye
    Bedane, Alemayehu
    Buser, Ashenafi Aberra
    ETHIOPIAN JOURNAL OF HEALTH SCIENCES, 2024, 34
  • [26] Artificial Intelligence in Cardiothoracic Radiology
    Auffermann, William F.
    Gozansky, Elliott K.
    Tridandapani, Srini
    AMERICAN JOURNAL OF ROENTGENOLOGY, 2019, 212 (05) : 997 - 1001
  • [27] Artificial Intelligence, Real Radiology
    Kahn, Charles E., Jr.
    RADIOLOGY-ARTIFICIAL INTELLIGENCE, 2019, 1 (01)
  • [28] Medical Students' Perspectives on Artificial Intelligence in Radiology: The Current Understanding and Impact on Radiology as a Future Specialty Choice
    Alamer, Ali
    CURRENT MEDICAL IMAGING, 2023, 19 (08) : 921 - 930
  • [29] Barriers to Artificial Intelligence implementation in radiology practice: What the Radiologist needs to know
    Nair, A. V.
    Ramanathan, S.
    Sathiadoss, P.
    Jajodia, A.
    Macdonald, Blair
    RADIOLOGIA, 2022, 64 (04): : 324 - 332
  • [30] Artificial Intelligence in Radiology What Is Its True Role at Present, and Where Is the Evidence?
    Mohseni, Alireza
    Ghotbi, Elena
    Kazemi, Foad
    Shababi, Amirali
    Jahan, Shayan Chashm
    Shababi, Niloufar
    RADIOLOGIC CLINICS OF NORTH AMERICA, 2024, 62 (06) : 935 - 947
12345