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 *

171 related articles for article (PubMed ID: 38615509)

  • 1. Evaluation of large language models performance against humans for summarizing MRI knee radiology reports: A feasibility study.
    López-Úbeda P; Martín-Noguerol T; Díaz-Angulo C; Luna A
    Int J Med Inform; 2024 Jul; 187():105443. PubMed ID: 38615509
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Automatic generation of conclusions from neuroradiology MRI reports through natural language processing.
    López-Úbeda P; Martín-Noguerol T; Escartín J; Luna A
    Neuroradiology; 2024 Apr; 66(4):477-485. PubMed ID: 38381144
    [TBL] [Abstract][Full Text] [Related]  

  • 3. An open-source fine-tuned large language model for radiological impression generation: a multi-reader performance study.
    Serapio A; Chaudhari G; Savage C; Lee YJ; Vella M; Sridhar S; Schroeder JL; Liu J; Yala A; Sohn JH
    BMC Med Imaging; 2024 Sep; 24(1):254. PubMed ID: 39333958
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Exploring the potential of ChatGPT in medical dialogue summarization: a study on consistency with human preferences.
    Liu Y; Ju S; Wang J
    BMC Med Inform Decis Mak; 2024 Mar; 24(1):75. PubMed ID: 38486198
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. 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]  

  • 7. 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]  

  • 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. From technical to understandable: Artificial Intelligence Large Language Models improve the readability of knee radiology reports.
    Butler JJ; Puleo J; Harrington MC; Dahmen J; Rosenbaum AJ; Kerkhoffs GMMJ; Kennedy JG
    Knee Surg Sports Traumatol Arthrosc; 2024 May; 32(5):1077-1086. PubMed ID: 38488217
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Exploring the Efficacy of Large Language Models in Summarizing Mental Health Counseling Sessions: Benchmark Study.
    Adhikary PK; Srivastava A; Kumar S; Singh SM; Manuja P; Gopinath JK; Krishnan V; Gupta SK; Deb KS; Chakraborty T
    JMIR Ment Health; 2024 Jul; 11():e57306. PubMed ID: 39042893
    [TBL] [Abstract][Full Text] [Related]  

  • 12. AI-Assisted Summarization of Radiologic Reports: Evaluating GPT3davinci, BARTcnn, LongT5booksum, LEDbooksum, LEDlegal, and LEDclinical.
    Chien A; Tang H; Jagessar B; Chang KW; Peng N; Nael K; Salamon N
    AJNR Am J Neuroradiol; 2024 Feb; 45(2):244-248. PubMed ID: 38238092
    [TBL] [Abstract][Full Text] [Related]  

  • 13. RadBERT: Adapting Transformer-based Language Models to Radiology.
    Yan A; McAuley J; Lu X; Du J; Chang EY; Gentili A; Hsu CN
    Radiol Artif Intell; 2022 Jul; 4(4):e210258. PubMed ID: 35923376
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Practical Evaluation of ChatGPT Performance for Radiology Report Generation.
    Soleimani M; Seyyedi N; Ayyoubzadeh SM; Kalhori SRN; Keshavarz H
    Acad Radiol; 2024 Dec; 31(12):4823-4832. PubMed ID: 39142976
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Development and Evaluation of a Digital Scribe: Conversation Summarization Pipeline for Emergency Department Counseling Sessions towards Reducing Documentation Burden.
    Sezgin E; Sirrianni J; Kranz K
    medRxiv; 2023 Dec; ():. PubMed ID: 38106162
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Automated Radiology Report Summarization Using an Open-Source Natural Language Processing Pipeline.
    Goff DJ; Loehfelm TW
    J Digit Imaging; 2018 Apr; 31(2):185-192. PubMed ID: 29086081
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 9.