525 related articles for article (PubMed ID: 34469212)
1. 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]
2. Automatic detection of actionable radiology reports using bidirectional encoder representations from transformers.
Nakamura Y; Hanaoka S; Nomura Y; Nakao T; Miki S; Watadani T; Yoshikawa T; Hayashi N; Abe O
BMC Med Inform Decis Mak; 2021 Sep; 21(1):262. PubMed ID: 34511100
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. 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]
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. Automatic text classification of actionable radiology reports of tinnitus patients using bidirectional encoder representations from transformer (BERT) and in-domain pre-training (IDPT).
Li J; Lin Y; Zhao P; Liu W; Cai L; Sun J; Zhao L; Yang Z; Song H; Lv H; Wang Z
BMC Med Inform Decis Mak; 2022 Jul; 22(1):200. PubMed ID: 35907966
[TBL] [Abstract][Full Text] [Related]
7. Machine learning based natural language processing of radiology reports in orthopaedic trauma.
Olthof AW; Shouche P; Fennema EM; IJpma FFA; Koolstra RHC; Stirler VMA; van Ooijen PMA; Cornelissen LJ
Comput Methods Programs Biomed; 2021 Sep; 208():106304. PubMed ID: 34333208
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. 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]
11. Use of BERT (Bidirectional Encoder Representations from Transformers)-Based Deep Learning Method for Extracting Evidences in Chinese Radiology Reports: Development of a Computer-Aided Liver Cancer Diagnosis Framework.
Liu H; Zhang Z; Xu Y; Wang N; Huang Y; Yang Z; Jiang R; Chen H
J Med Internet Res; 2021 Jan; 23(1):e19689. PubMed ID: 33433395
[TBL] [Abstract][Full Text] [Related]
12. Highly accurate classification of chest radiographic reports using a deep learning natural language model pre-trained on 3.8 million text reports.
Bressem KK; Adams LC; Gaudin RA; Tröltzsch D; Hamm B; Makowski MR; Schüle CY; Vahldiek JL; Niehues SM
Bioinformatics; 2021 Jan; 36(21):5255-5261. PubMed ID: 32702106
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Bag-of-Words Technique in Natural Language Processing: A Primer for Radiologists.
Juluru K; Shih HH; Keshava Murthy KN; Elnajjar P
Radiographics; 2021; 41(5):1420-1426. PubMed ID: 34388050
[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. Information extraction from weakly structured radiological reports with natural language queries.
Dada A; Ufer TL; Kim M; Hasin M; Spieker N; Forsting M; Nensa F; Egger J; Kleesiek J
Eur Radiol; 2024 Jan; 34(1):330-337. PubMed ID: 37505252
[TBL] [Abstract][Full Text] [Related]
17. [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]
18. Natural Language Processing in Dutch Free Text Radiology Reports: Challenges in a Small Language Area Staging Pulmonary Oncology.
Nobel JM; Puts S; Bakers FCH; Robben SGF; Dekker ALAJ
J Digit Imaging; 2020 Aug; 33(4):1002-1008. PubMed ID: 32076924
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Transformer versus traditional natural language processing: how much data is enough for automated radiology report classification?
Yang E; Li MD; Raghavan S; Deng F; Lang M; Succi MD; Huang AJ; Kalpathy-Cramer J
Br J Radiol; 2023 Sep; 96(1149):20220769. PubMed ID: 37162253
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
