Automatic detection of actionable findings and communication mentions in radiology reports using natural language processing

被引:0
|
作者
Jacob J. Visser
Marianne de Vries
Jan A. Kors
机构
[1] Erasmus MC,Department of Radiology and Nuclear Medicine
[2] University Medical Center Rotterdam,Department of Medical Informatics
[3] Erasmus MC,undefined
[4] University Medical Center Rotterdam,undefined
来源
European Radiology | 2022年 / 32卷
关键词
Radiology information systems; Natural language processing; Machine learning; Personal communication; Quality control;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:3996 / 4002
页数:6
相关论文
共 50 条
  • [21] Natural language processing to identify ureteric stones in radiology reports
    Li, Andrew Yu
    Elliot, Nikki
    [J]. JOURNAL OF MEDICAL IMAGING AND RADIATION ONCOLOGY, 2019, 63 (03) : 307 - 310
  • [22] A systematic review of natural language processing applied to radiology reports
    Arlene Casey
    Emma Davidson
    Michael Poon
    Hang Dong
    Daniel Duma
    Andreas Grivas
    Claire Grover
    Víctor Suárez-Paniagua
    Richard Tobin
    William Whiteley
    Honghan Wu
    Beatrice Alex
    [J]. BMC Medical Informatics and Decision Making, 21
  • [23] Natural language processing of radiology reports for the identification of patients with fracture
    Nithin Kolanu
    A Shane Brown
    Amanda Beech
    Jacqueline R. Center
    Christopher P. White
    [J]. Archives of Osteoporosis, 2021, 16
  • [24] Characterization of patients with advanced chronic pancreatitis using natural language processing of radiology reports
    Xie, Fagen
    Chen, Qiaoling
    Zhou, Yichen
    Chen, Wansu
    Bautista, Jemianne
    Nguyen, Emilie T.
    Parker, Rex A.
    Wu, Bechien U.
    [J]. PLOS ONE, 2020, 15 (08):
  • [25] Between Always and Never: Evaluating Uncertainty in Radiology Reports Using Natural Language Processing
    Andrew L. Callen
    Sara M. Dupont
    Adi Price
    Ben Laguna
    David McCoy
    Bao Do
    Jason Talbott
    Marc Kohli
    Jared Narvid
    [J]. Journal of Digital Imaging, 2020, 33 : 1194 - 1201
  • [26] Between Always and Never: Evaluating Uncertainty in Radiology Reports Using Natural Language Processing
    Callen, Andrew L.
    Dupont, Sara M.
    Price, Adi
    Laguna, Ben
    McCoy, David
    Do, Bao
    Talbott, Jason
    Kohli, Marc
    Narvid, Jared
    [J]. JOURNAL OF DIGITAL IMAGING, 2020, 33 (05) : 1194 - 1201
  • [27] Automating incidental findings in radiology reports using natural language processing and machine learning to identify and classify pulmonary nodules.
    French, Christi
    Makowski, Maciek
    Terker, Samantha
    Clark, Paul Alexander
    [J]. JOURNAL OF CLINICAL ONCOLOGY, 2019, 37 (15)
  • [28] Using Natural Language Processing to Improve Automatic Ascertainment of Key Colonoscopy Findings
    Wang, Lei
    Murphy, Caitlin C.
    Skinner, Celette S.
    Skinner, Michael A.
    Borton, Eric K.
    Ortiz, Cynthia M.
    Hu, Ellen
    Lykken, Jacquelyn M.
    Halm, Ethan A.
    [J]. AMERICAN JOURNAL OF GASTROENTEROLOGY, 2021, 116 : S129 - S129
  • [29] Automatic classification and prioritisation of actionable BI-RADS categories using natural language processing models
    Lopez-Ubeda, P.
    Martin-Noguerol, T.
    Luna, A.
    [J]. CLINICAL RADIOLOGY, 2024, 79 (01) : e1 - e7
  • [30] Natural Language Processing of Radiology Reports to Detect Complications of Ischemic Stroke
    Miller, Matthew, I
    Orfanoudaki, Agni
    Cronin, Michael
    Saglam, Hanife
    Kim, Ivy So Yeon
    Balogun, Oluwafemi
    Tzalidi, Maria
    Vasilopoulos, Kyriakos
    Fanaropoulou, Georgia
    Fanaropoulou, Nina M.
    Kalin, Jack
    Hutch, Meghan
    Prescott, Brenton R.
    Brush, Benjamin
    Benjamin, Emelia J.
    Shin, Min
    Mian, Asim
    Greer, David M.
    Smirnakis, Stelios M.
    Ong, Charlene J.
    [J]. NEUROCRITICAL CARE, 2022, 37 (SUPPL 2) : 291 - 302