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 *

205 related articles for article (PubMed ID: 36788196)

  • 1. 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]  

  • 2. 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]  

  • 3. Extracting Clinical Information From Japanese Radiology Reports Using a 2-Stage Deep Learning Approach: Algorithm Development and Validation.
    Sugimoto K; Wada S; Konishi S; Okada K; Manabe S; Matsumura Y; Takeda T
    JMIR Med Inform; 2023 Nov; 11():e49041. PubMed ID: 37991979
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Detecting Ground Glass Opacity Features in Patients With Lung Cancer: Automated Extraction and Longitudinal Analysis via Deep Learning-Based Natural Language Processing.
    Lee K; Liu Z; Chandran U; Kalsekar I; Laxmanan B; Higashi MK; Jun T; Ma M; Li M; Mai Y; Gilman C; Wang T; Ai L; Aggarwal P; Pan Q; Oh W; Stolovitzky G; Schadt E; Wang X
    JMIR AI; 2023 Jun; 2():e44537. PubMed ID: 38875565
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Classifying social determinants of health from unstructured electronic health records using deep learning-based natural language processing.
    Han S; Zhang RF; Shi L; Richie R; Liu H; Tseng A; Quan W; Ryan N; Brent D; Tsui FR
    J Biomed Inform; 2022 Mar; 127():103984. PubMed ID: 35007754
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Extracting comprehensive clinical information for breast cancer using deep learning methods.
    Zhang X; Zhang Y; Zhang Q; Ren Y; Qiu T; Ma J; Sun Q
    Int J Med Inform; 2019 Dec; 132():103985. PubMed ID: 31627032
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Identify diabetic retinopathy-related clinical concepts and their attributes using transformer-based natural language processing methods.
    Yu Z; Yang X; Sweeting GL; Ma Y; Stolte SE; Fang R; Wu Y
    BMC Med Inform Decis Mak; 2022 Sep; 22(Suppl 3):255. PubMed ID: 36167551
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Information extraction from multi-institutional radiology reports.
    Hassanpour S; Langlotz CP
    Artif Intell Med; 2016 Jan; 66():29-39. PubMed ID: 26481140
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Automatic Classification of Tumor Response From Radiology Reports With Rule-Based Natural Language Processing Integrated Into the Clinical Oncology Workflow.
    Laurent G; Craynest F; Thobois M; Hajjaji N
    JCO Clin Cancer Inform; 2023 Jan; 7():e2200139. PubMed ID: 36780606
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identifying Patient Populations in Texts Describing Drug Approvals Through Deep Learning-Based Information Extraction: Development of a Natural Language Processing Algorithm.
    Gendrin A; Souliotis L; Loudon-Griffiths J; Aggarwal R; Amoako D; Desouza G; Dimitrievska S; Metcalfe P; Louvet E; Sahni H
    JMIR Form Res; 2023 Jun; 7():e44876. PubMed ID: 37347514
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Event-Based Clinical Finding Extraction from Radiology Reports with Pre-trained Language Model.
    Lau W; Lybarger K; Gunn ML; Yetisgen M
    J Digit Imaging; 2023 Feb; 36(1):91-104. PubMed ID: 36253581
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Identification of patients' smoking status using an explainable AI approach: a Danish electronic health records case study.
    Ebrahimi A; Henriksen MBH; Brasen CL; Hilberg O; Hansen TF; Jensen LH; Peimankar A; Wiil UK
    BMC Med Res Methodol; 2024 May; 24(1):114. PubMed ID: 38760718
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Comprehensive Word-Level Classification of Screening Mammography Reports Using a Neural Network Sequence Labeling Approach.
    Short RG; Bralich J; Bogaty D; Befera NT
    J Digit Imaging; 2019 Oct; 32(5):685-692. PubMed ID: 30338478
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Use of Natural Language Processing to Infer Sites of Metastatic Disease From Radiology Reports at Scale.
    Tay SB; Low GH; Wong GJE; Tey HJ; Leong FL; Li C; Chua MLK; Tan DSW; Thng CH; Tan IBH; Tan RSYC
    JCO Clin Cancer Inform; 2024 May; 8():e2300122. PubMed ID: 38788166
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Automated outcome classification of emergency department computed tomography imaging reports.
    Yadav K; Sarioglu E; Smith M; Choi HA
    Acad Emerg Med; 2013 Aug; 20(8):848-54. PubMed ID: 24033628
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Automatic Extraction of Lung Cancer Staging Information From Computed Tomography Reports: Deep Learning Approach.
    Hu D; Zhang H; Li S; Wang Y; Wu N; Lu X
    JMIR Med Inform; 2021 Jul; 9(7):e27955. PubMed ID: 34287213
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. 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]  

  • 20. Natural language processing deep learning models for the differential between high-grade gliomas and metastasis: what if the key is how we report them?
    Martín-Noguerol T; López-Úbeda P; Pons-Escoda A; Luna A
    Eur Radiol; 2024 Mar; 34(3):2113-2120. PubMed ID: 37665389
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.