These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

142 related articles for article (PubMed ID: 36416419)

  • 1. Automated deidentification of radiology reports combining transformer and "hide in plain sight" rule-based methods.
    Chambon PJ; Wu C; Steinkamp JM; Adleberg J; Cook TS; Langlotz CP
    J Am Med Inform Assoc; 2023 Jan; 30(2):318-328. PubMed ID: 36416419
    [TBL] [Abstract][Full Text] [Related]  

  • 2. OpenDeID Pipeline for Unstructured Electronic Health Record Text Notes Based on Rules and Transformers: Deidentification Algorithm Development and Validation Study.
    Liu J; Gupta S; Chen A; Wang CK; Mishra P; Dai HJ; Wong ZS; Jonnagaddala J
    J Med Internet Res; 2023 Dec; 25():e48145. PubMed ID: 38055317
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Preliminary Evaluation of Fine-Tuning the OpenDeLD Deidentification Pipeline Across Multi-Center Corpora.
    Gupta S; Liu J; Wong ZS; Jonnagaddala J
    Stud Health Technol Inform; 2024 Aug; 316():719-723. PubMed ID: 39176896
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Unlocking the Secrets Behind Advanced Artificial Intelligence Language Models in Deidentifying Chinese-English Mixed Clinical Text: Development and Validation Study.
    Lee YQ; Chen CT; Chen CC; Lee CH; Chen P; Wu CS; Dai HJ
    J Med Internet Res; 2024 Jan; 26():e48443. PubMed ID: 38271060
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Evaluation of Automated Public De-Identification Tools on a Corpus of Radiology Reports.
    Steinkamp JM; Pomeranz T; Adleberg J; Kahn CE; Cook TS
    Radiol Artif Intell; 2020 Nov; 2(6):e190137. PubMed ID: 33937843
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Web-Based Application Based on Human-in-the-Loop Deep Learning for Deidentifying Free-Text Data in Electronic Medical Records: Development and Usability Study.
    Liu L; Perez-Concha O; Nguyen A; Bennett V; Blake V; Gallego B; Jorm L
    Interact J Med Res; 2023 Aug; 12():e46322. PubMed ID: 37624624
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Automated Radiology-Arthroscopy Correlation of Knee Meniscal Tears Using Natural Language Processing Algorithms.
    Li MD; Deng F; Chang K; Kalpathy-Cramer J; Huang AJ
    Acad Radiol; 2022 Apr; 29(4):479-487. PubMed ID: 33583713
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Protected Health Information Recognition by Fine-Tuning a Pre-training Transformer Model.
    Oh SH; Kang M; Lee Y
    Healthc Inform Res; 2022 Jan; 28(1):16-24. PubMed ID: 35172087
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Ensemble Approaches to Recognize Protected Health Information in Radiology Reports.
    Horng H; Steinkamp J; Kahn CE; Cook TS
    J Digit Imaging; 2022 Dec; 35(6):1694-1698. PubMed ID: 35715655
    [TBL] [Abstract][Full Text] [Related]  

  • 11. The machine giveth and the machine taketh away: a parrot attack on clinical text deidentified with hiding in plain sight.
    Carrell DS; Cronkite DJ; Li MR; Nyemba S; Malin BA; Aberdeen JS; Hirschman L
    J Am Med Inform Assoc; 2019 Dec; 26(12):1536-1544. PubMed ID: 31390016
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Performance of a Machine Learning Classifier of Knee MRI Reports in Two Large Academic Radiology Practices: A Tool to Estimate Diagnostic Yield.
    Hassanpour S; Langlotz CP; Amrhein TJ; Befera NT; Lungren MP
    AJR Am J Roentgenol; 2017 Apr; 208(4):750-753. PubMed ID: 28140627
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Development and Validation of a Model to Identify Critical Brain Injuries Using Natural Language Processing of Text Computed Tomography Reports.
    Torres-Lopez VM; Rovenolt GE; Olcese AJ; Garcia GE; Chacko SM; Robinson A; Gaiser E; Acosta J; Herman AL; Kuohn LR; Leary M; Soto AL; Zhang Q; Fatima S; Falcone GJ; Payabvash MS; Sharma R; Struck AF; Sheth KN; Westover MB; Kim JA
    JAMA Netw Open; 2022 Aug; 5(8):e2227109. PubMed ID: 35972739
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Improved Fine-Tuning of In-Domain Transformer Model for Inferring COVID-19 Presence in Multi-Institutional Radiology Reports.
    Chambon P; Cook TS; Langlotz CP
    J Digit Imaging; 2023 Feb; 36(1):164-177. PubMed ID: 36323915
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Inferring cancer disease response from radiology reports using large language models with data augmentation and prompting.
    Tan RSYC; Lin Q; Low GH; Lin R; Goh TC; Chang CCE; Lee FF; Chan WY; Tan WC; Tey HJ; Leong FL; Tan HQ; Nei WL; Chay WY; Tai DWM; Lai GGY; Cheng LT; Wong FY; Chua MCH; Chua MLK; Tan DSW; Thng CH; Tan IBH; Ng HT
    J Am Med Inform Assoc; 2023 Sep; 30(10):1657-1664. PubMed ID: 37451682
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Natural Language Processing Model for Identifying Critical Findings-A Multi-Institutional Study.
    Banerjee I; Davis MA; Vey BL; Mazaheri S; Khan F; Zavaletta V; Gerard R; Gichoya JW; Patel B
    J Digit Imaging; 2023 Feb; 36(1):105-113. PubMed ID: 36344632
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Can We Geographically Validate a Natural Language Processing Algorithm for Automated Detection of Incidental Durotomy Across Three Independent Cohorts From Two Continents?
    Karhade AV; Oosterhoff JHF; Groot OQ; Agaronnik N; Ehresman J; Bongers MER; Jaarsma RL; Poonnoose SI; Sciubba DM; Tobert DG; Doornberg JN; Schwab JH
    Clin Orthop Relat Res; 2022 Sep; 480(9):1766-1775. PubMed ID: 35412473
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 8.