Deep learning to convert unstructured CT pulmonary angiography reports into structured reports

被引:0
|
作者
Adam Spandorfer
Cody Branch
Puneet Sharma
Pooyan Sahbaee
U. Joseph Schoepf
James G. Ravenel
John W. Nance
机构
[1] Medical University of South Carolina,Department of Radiology
[2] Siemens Medical Solutions USA,undefined
[3] Inc.,undefined
来源
European Radiology Experimental | / 3卷
关键词
Artificial intelligence; Machine learning; Natural language processing; Structured reporting; Tomography (x-ray, computed);
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [1] Deep learning to convert unstructured CT pulmonary angiography reports into structured reports
    Spandorfer, Adam
    Branch, Cody
    Sharma, Puneet
    Sahbaee, Pooyan
    Schoepf, U. Joseph
    Ravenel, James G.
    Nance, John W.
    EUROPEAN RADIOLOGY EXPERIMENTAL, 2019, 3 (01)
  • [2] Natural language processing to convert unstructured COVID-19 chest-CT reports into structured reports
    Fanni, Salvatore Claudio
    Romei, Chiara
    Ferrando, Giovanni
    Volpi, Federica
    D'Amore, Caterina Aida
    Bedini, Claudio
    Ubbiali, Sandro
    Valentino, Salvatore
    Neri, Emanuele
    EUROPEAN JOURNAL OF RADIOLOGY OPEN, 2023, 11
  • [3] Deep learning approach to detection of colonoscopic information from unstructured reports
    Seong, Donghyeong
    Choi, Yoon Ho
    Shin, Soo-Yong
    Yi, Byoung-Kee
    BMC MEDICAL INFORMATICS AND DECISION MAKING, 2023, 23 (01)
  • [4] Deep learning approach to detection of colonoscopic information from unstructured reports
    Donghyeong Seong
    Yoon Ho Choi
    Soo-Yong Shin
    Byoung-Kee Yi
    BMC Medical Informatics and Decision Making, 23
  • [5] Application of Deep Learning in Generating Structured Radiology Reports: A Transformer-Based Technique
    Seyed Ali Reza Moezzi
    Abdolrahman Ghaedi
    Mojdeh Rahmanian
    Seyedeh Zahra Mousavi
    Ashkan Sami
    Journal of Digital Imaging, 2023, 36 : 80 - 90
  • [6] Application of Deep Learning in Generating Structured Radiology Reports: A Transformer-Based Technique
    Moezzi, Seyed Ali Reza
    Ghaedi, Abdolrahman
    Rahmanian, Mojdeh
    Mousavi, Seyedeh Zahra
    Sami, Ashkan
    JOURNAL OF DIGITAL IMAGING, 2023, 36 (01) : 80 - 90
  • [7] JOURNAL CLUB: Structured Radiology Reports Are More Complete and More Effective Than Unstructured Reports
    Marcovici, Peter A.
    Taylor, George A.
    AMERICAN JOURNAL OF ROENTGENOLOGY, 2014, 203 (06) : 1265 - 1271
  • [8] Classification of CT pulmonary angiography reports by presence, chronicity, and location of pulmonary embolism with natural language processing
    Yu, Sheng
    Kumamaru, Kanako K.
    George, Elizabeth
    Dunne, Ruth M.
    Bedayat, Arash
    Neykov, Matey
    Hunsaker, Andetta R.
    Dill, Karin E.
    Cai, Tianxi
    Rybicki, Frank J.
    JOURNAL OF BIOMEDICAL INFORMATICS, 2014, 52 : 386 - 393
  • [9] MITREtrieval: Retrieving MITRE Techniques From Unstructured Threat Reports by Fusion of Deep Learning and Ontology
    Huang, Yi-Ting
    Vaitheeshwari, R.
    Chen, Meng-Chang
    Lin, Ying-Dar
    Hwang, Ren-Hung
    Lin, Po-Ching
    Lai, Yuan-Cheng
    Wu, Eric Hsiao-Kuang
    Chen, Chung-Hsuan
    Liao, Zi-Jie
    Chen, Chung-Kuan
    IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 2024, 21 (04): : 4871 - 4887
  • [10] Interpreting the Interpretations: The Use of Structured Reporting Improves Referring Clinicians' Comprehension of Coronary CT Angiography Reports
    Ghoshhajra, Brian B.
    Lee, Ashley M.
    Ferencik, Maros
    Elmariah, Sammy
    Margey, Ronan J. P.
    Onuma, Oyere
    Panagia, Marcello
    Abbara, Suhny
    Hoffmann, Udo
    JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY, 2013, 10 (06) : 432 - 438