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 *

133 related articles for article (PubMed ID: 38964194)

  • 1. Reshaping free-text radiology notes into structured reports with generative question answering transformers.
    Bergomi L; Buonocore TM; Antonazzo P; Alberghi L; Bellazzi R; Preda L; Bortolotto C; Parimbelli E
    Artif Intell Med; 2024 Aug; 154():102924. PubMed ID: 38964194
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A large language model-based generative natural language processing framework fine-tuned on clinical notes accurately extracts headache frequency from electronic health records.
    Chiang CC; Luo M; Dumkrieger G; Trivedi S; Chen YC; Chao CJ; Schwedt TJ; Sarker A; Banerjee I
    Headache; 2024 Apr; 64(4):400-409. PubMed ID: 38525734
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Evaluating the performance of Generative Pre-trained Transformer-4 (GPT-4) in standardizing radiology reports.
    Hasani AM; Singh S; Zahergivar A; Ryan B; Nethala D; Bravomontenegro G; Mendhiratta N; Ball M; Farhadi F; Malayeri A
    Eur Radiol; 2024 Jun; 34(6):3566-3574. PubMed ID: 37938381
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
    Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
    Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Application of Deep Learning in Generating Structured Radiology Reports: A Transformer-Based Technique.
    Moezzi SAR; Ghaedi A; Rahmanian M; Mousavi SZ; Sami A
    J Digit Imaging; 2023 Feb; 36(1):80-90. PubMed ID: 36002778
    [TBL] [Abstract][Full Text] [Related]  

  • 6. CACER: Clinical concept Annotations for Cancer Events and Relations.
    Fu YV; Ramachandran GK; Halwani A; McInnes BT; Xia F; Lybarger K; Yetisgen M; Uzuner Ö
    J Am Med Inform Assoc; 2024 Nov; 31(11):2583-2594. PubMed ID: 39225779
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A Large Language Model-Based Generative Natural Language Processing Framework Finetuned on Clinical Notes Accurately Extracts Headache Frequency from Electronic Health Records.
    Chiang CC; Luo M; Dumkrieger G; Trivedi S; Chen YC; Chao CJ; Schwedt TJ; Sarker A; Banerjee I
    medRxiv; 2023 Oct; ():. PubMed ID: 37873417
    [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. Natural language processing for automatic evaluation of free-text answers - a feasibility study based on the European Diploma in Radiology examination.
    Stoehr F; Kämpgen B; Müller L; Zufiría LO; Junquero V; Merino C; Mildenberger P; Kloeckner R
    Insights Imaging; 2023 Sep; 14(1):150. PubMed ID: 37726485
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Generative Pre-trained Transformer 4 makes cardiovascular magnetic resonance reports easy to understand.
    Salam B; Kravchenko D; Nowak S; Sprinkart AM; Weinhold L; Odenthal A; Mesropyan N; Bischoff LM; Attenberger U; Kuetting DL; Luetkens JA; Isaak A
    J Cardiovasc Magn Reson; 2024; 26(1):101035. PubMed ID: 38460841
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Investigating the impact of structured reporting on the linguistic standardization of radiology reports through natural language processing over a 10-year period.
    Vosshenrich J; Nesic I; Boll DT; Heye T
    Eur Radiol; 2023 Nov; 33(11):7496-7506. PubMed ID: 37542652
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Quality of Answers of Generative Large Language Models Versus Peer Users for Interpreting Laboratory Test Results for Lay Patients: Evaluation Study.
    He Z; Bhasuran B; Jin Q; Tian S; Hanna K; Shavor C; Arguello LG; Murray P; Lu Z
    J Med Internet Res; 2024 Apr; 26():e56655. PubMed ID: 38630520
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Ascle-A Python Natural Language Processing Toolkit for Medical Text Generation: Development and Evaluation Study.
    Yang R; Zeng Q; You K; Qiao Y; Huang L; Hsieh CC; Rosand B; Goldwasser J; Dave A; Keenan T; Ke Y; Hong C; Liu N; Chew E; Radev D; Lu Z; Xu H; Chen Q; Li I
    J Med Internet Res; 2024 Oct; 26():e60601. PubMed ID: 39361955
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Generative pretrained transformer-4, an artificial intelligence text predictive model, has a high capability for passing novel written radiology exam questions.
    Sood A; Mansoor N; Memmi C; Lynch M; Lynch J
    Int J Comput Assist Radiol Surg; 2024 Apr; 19(4):645-653. PubMed ID: 38381363
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Assessing Laterality Errors in Radiology: Comparing Generative Artificial Intelligence and Natural Language Processing.
    Kathait AS; Garza-Frias E; Sikka T; Schultz TJ; Bizzo B; Kalra MK; Dreyer KJ
    J Am Coll Radiol; 2024 Oct; 21(10):1575-1582. PubMed ID: 38960083
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Using GPT-4 for LI-RADS feature extraction and categorization with multilingual free-text reports.
    Gu K; Lee JH; Shin J; Hwang JA; Min JH; Jeong WK; Lee MW; Song KD; Bae SH
    Liver Int; 2024 Jul; 44(7):1578-1587. PubMed ID: 38651924
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Unsupervised Topic Modeling in a Large Free Text Radiology Report Repository.
    Hassanpour S; Langlotz CP
    J Digit Imaging; 2016 Feb; 29(1):59-62. PubMed ID: 26353748
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.