Artificial Intelligence in Breast Imaging: Potentials and Limitations

被引：73
|
作者：
Mendelson, Ellen B. [1 ]
机构：
[1] Northwestern Univ, Prentice Hosp Northwestern Mem, Lynn Sage Breast Imaging Ctr, Feinberg Sch Med, Suite 4-2304,250 Super St, Chicago, IL 60611 USA
来源：
AMERICAN JOURNAL OF ROENTGENOLOGY | 2019年 / 212卷 / 02期
关键词：
artificial intelligence in breast imaging; artificial intelligence in radiology; artificial neural networks; computer-aided detection and diagnosis; machine and deep learning; COMPUTER-AIDED DIAGNOSIS; LYMPH-NODE STATUS; NEURAL-NETWORKS; BI-RADS; HEALTH-CARE; RADIOLOGY; CANCER; PREDICTION; FUTURE; CLASSIFICATION;
D O I：
10.2214/AJR.18.20532
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：
OBJECTIVE. The purpose of this article is to discuss potential applications of artificial intelligence (AI) in breast imaging and limitations that may slow or prevent its adoption. CONCLUSION. The algorithms of AI for workflow improvement and outcome analyses are advancing. Using imaging data of high quality and quantity, AI can support breast imagers in diagnosis and patient management, but AI cannot yet be relied on or be responsible for physicians' decisions that may affect survival. Education in AI is urgently needed for physicians.
引用
收藏
页码：293 / 299
页数：7
相关论文
共 50 条
  • [1] Artificial intelligence in breast imaging: potentials and challenges
    Li, Jia-wei
    Sheng, Dan-li
    Chen, Jian-gang
    You, Chao
    Liu, Shuai
    Xu, Hui-xiong
    Chang, Cai
    PHYSICS IN MEDICINE AND BIOLOGY, 2023, 68 (23):
  • [2] Adoption of artificial intelligence in breast imaging: evaluation, ethical constraints and limitations
    Sarah E. Hickman
    Gabrielle C. Baxter
    Fiona J. Gilbert
    British Journal of Cancer, 2021, 125 : 15 - 22
  • [3] Adoption of artificial intelligence in breast imaging: evaluation, ethical constraints and limitations
    Hickman, Sarah E.
    Baxter, Gabrielle C.
    Gilbert, Fiona J.
    BRITISH JOURNAL OF CANCER, 2021, 125 (01) : 15 - 22
  • [4] Artificial intelligence in breast imaging
    Le, E. P., V
    Wang, Y.
    Huang, Y.
    Hickman, S.
    Gilbert, F. J.
    CLINICAL RADIOLOGY, 2019, 74 (05) : 357 - 366
  • [5] The promise and limitations of artificial intelligence in musculoskeletal imaging
    Debs, Patrick
    Fayad, Laura M.
    FRONTIERS IN RADIOLOGY, 2023, 3
  • [6] A Review of Artificial Intelligence in Breast Imaging
    Al-Karawi, Dhurgham
    Al-Zaidi, Shakir
    Helael, Khaled Ahmad
    Obeidat, Naser
    Mouhsen, Abdulmajeed Mounzer
    Ajam, Tarek
    Alshalabi, Bashar A.
    Salman, Mohamed
    Ahmed, Mohammed H.
    TOMOGRAPHY, 2024, 10 (05) : 705 - 726
  • [7] Ethics of Artificial Intelligence in Breast Imaging
    Morgan, Matthew B.
    Mates, Jonathan L.
    JOURNAL OF BREAST IMAGING, 2023, 5 (02) : 195 - 200
  • [8] Updates in Artificial Intelligence for Breast Imaging
    Bahl, Manisha
    SEMINARS IN ROENTGENOLOGY, 2022, 57 (02) : 160 - 167
  • [9] Applications of Artificial Intelligence in Breast Imaging
    Morgan, Matthew B.
    Mates, Jonathan L.
    RADIOLOGIC CLINICS OF NORTH AMERICA, 2021, 59 (01) : 139 - 148
  • [10] Artificial Intelligence in Medical Imaging of the Breast
    Lei, Yu-Meng
    Yin, Miao
    Yu, Mei-Hui
    Yu, Jing
    Zeng, Shu-E
    Lv, Wen-Zhi
    Li, Jun
    Ye, Hua-Rong
    Cui, Xin-Wu
    Dietrich, Christoph F.
    FRONTIERS IN ONCOLOGY, 2021, 11
12345