BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

238 related articles for article (PubMed ID: 30014451)

  • 1. [Basics and applications of Natural Language Processing (NLP) in radiology].
    Jungmann F; Kuhn S; Kämpgen B
    Radiologe; 2018 Aug; 58(8):764-768. PubMed ID: 30014451
    [TBL] [Abstract][Full Text] [Related]  

  • 2. [Natural language processing in radiology : Neither trivial nor impossible].
    Jungmann F; Kuhn S; Tsaur I; Kämpgen B
    Radiologe; 2019 Sep; 59(9):828-832. PubMed ID: 31168771
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A Hybrid Reporting Platform for Extended RadLex Coding Combining Structured Reporting Templates and Natural Language Processing.
    Jungmann F; Arnhold G; Kämpgen B; Jorg T; Düber C; Mildenberger P; Kloeckner R
    J Digit Imaging; 2020 Aug; 33(4):1026-1033. PubMed ID: 32318897
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Review of Natural Language Processing in Radiology.
    Luo JW; Chong JJR
    Neuroimaging Clin N Am; 2020 Nov; 30(4):447-458. PubMed ID: 33038995
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Applications of natural language processing in radiology: A systematic review.
    Linna N; Kahn CE
    Int J Med Inform; 2022 Jul; 163():104779. PubMed ID: 35533413
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Practical Guide to Natural Language Processing for Radiology.
    Mozayan A; Fabbri AR; Maneevese M; Tocino I; Chheang S
    Radiographics; 2021; 41(5):1446-1453. PubMed ID: 34469212
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Basic Artificial Intelligence Techniques: Natural Language Processing of Radiology Reports.
    Steinkamp J; Cook TS
    Radiol Clin North Am; 2021 Nov; 59(6):919-931. PubMed ID: 34689877
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Natural Language Processing in Radiology: A Systematic Review.
    Pons E; Braun LM; Hunink MG; Kors JA
    Radiology; 2016 May; 279(2):329-43. PubMed ID: 27089187
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Natural Language Processing in Radiology: Update on Clinical Applications.
    López-Úbeda P; Martín-Noguerol T; Juluru K; Luna A
    J Am Coll Radiol; 2022 Nov; 19(11):1271-1285. PubMed ID: 36029890
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Essential Elements of Natural Language Processing: What the Radiologist Should Know.
    Chen PH
    Acad Radiol; 2020 Jan; 27(1):6-12. PubMed ID: 31537505
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Natural language processing in radiology: Clinical applications and future directions.
    Bobba PS; Sailer A; Pruneski JA; Beck S; Mozayan A; Mozayan S; Arango J; Cohan A; Chheang S
    Clin Imaging; 2023 May; 97():55-61. PubMed ID: 36889116
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Identification of Long Bone Fractures in Radiology Reports Using Natural Language Processing to support Healthcare Quality Improvement.
    Grundmeier RW; Masino AJ; Casper TC; Dean JM; Bell J; Enriquez R; Deakyne S; Chamberlain JM; Alpern ER;
    Appl Clin Inform; 2016 Nov; 7(4):1051-1068. PubMed ID: 27826610
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Automatic RadLex coding of Chinese structured radiology reports based on text similarity ensemble.
    Chen Y; Nan S; Tian Q; Cai H; Duan H; Lu X
    BMC Med Inform Decis Mak; 2021 Nov; 21(Suppl 9):247. PubMed ID: 34789213
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Proposing New RadLex Terms by Analyzing Free-Text Mammography Reports.
    Bulu H; Sippo DA; Lee JM; Burnside ES; Rubin DL
    J Digit Imaging; 2018 Oct; 31(5):596-603. PubMed ID: 29560542
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Deep Learning for Natural Language Processing in Radiology-Fundamentals and a Systematic Review.
    Sorin V; Barash Y; Konen E; Klang E
    J Am Coll Radiol; 2020 May; 17(5):639-648. PubMed ID: 32004480
    [TBL] [Abstract][Full Text] [Related]  

  • 16. The reporting quality of natural language processing studies: systematic review of studies of radiology reports.
    Davidson EM; Poon MTC; Casey A; Grivas A; Duma D; Dong H; Suárez-Paniagua V; Grover C; Tobin R; Whalley H; Wu H; Alex B; Whiteley W
    BMC Med Imaging; 2021 Oct; 21(1):142. PubMed ID: 34600486
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Use of Natural Language Processing (NLP) in Evaluation of Radiology Reports: An Update on Applications and Technology Advances.
    Donnelly LF; Grzeszczuk R; Guimaraes CV
    Semin Ultrasound CT MR; 2022 Apr; 43(2):176-181. PubMed ID: 35339258
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The use of natural language processing on pediatric diagnostic radiology reports in the electronic health record to identify deep venous thrombosis in children.
    Gálvez JA; Pappas JM; Ahumada L; Martin JN; Simpao AF; Rehman MA; Witmer C
    J Thromb Thrombolysis; 2017 Oct; 44(3):281-290. PubMed ID: 28815363
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Automated Detection of Measurements and Their Descriptors in Radiology Reports Using a Hybrid Natural Language Processing Algorithm.
    Bozkurt S; Alkim E; Banerjee I; Rubin DL
    J Digit Imaging; 2019 Aug; 32(4):544-553. PubMed ID: 31222557
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Informatics in radiology: RADTF: a semantic search-enabled, natural language processor-generated radiology teaching file.
    Do BH; Wu A; Biswal S; Kamaya A; Rubin DL
    Radiographics; 2010 Nov; 30(7):2039-48. PubMed ID: 20801868
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.