152 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. 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]
4. 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]
5. 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]
6. 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]
7. 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]
8. 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]
9. 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]
10. 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]
11. 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]
12. 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]
13. 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]
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. 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]
16. 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]
17. 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]
18. 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]
19. 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]
20. Clinical Concept-Based Radiology Reports Classification Pipeline for Lung Carcinoma.
Mithun S; Jha AK; Sherkhane UB; Jaiswar V; Purandare NC; Dekker A; Puts S; Bermejo I; Rangarajan V; Zegers CML; Wee L
J Digit Imaging; 2023 Jun; 36(3):812-826. PubMed ID: 36788196
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
