BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

404 related articles for article (PubMed ID: 38271060)

  • 1. 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]  

  • 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. An Empirical Evaluation of Prompting Strategies for Large Language Models in Zero-Shot Clinical Natural Language Processing: Algorithm Development and Validation Study.
    Sivarajkumar S; Kelley M; Samolyk-Mazzanti A; Visweswaran S; Wang Y
    JMIR Med Inform; 2024 Apr; 12():e55318. PubMed ID: 38587879
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A machine learning based approach to identify protected health information in Chinese clinical text.
    Du L; Xia C; Deng Z; Lu G; Xia S; Ma J
    Int J Med Inform; 2018 Aug; 116():24-32. PubMed ID: 29887232
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. An Efficient Method for Deidentifying Protected Health Information in Chinese Electronic Health Records: Algorithm Development and Validation.
    Wang P; Li Y; Yang L; Li S; Li L; Zhao Z; Long S; Wang F; Wang H; Li Y; Wang C
    JMIR Med Inform; 2022 Aug; 10(8):e38154. PubMed ID: 36040774
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Protected Health Information Recognition of Unstructured Code-Mixed Electronic Health Records in Taiwan.
    Lee YQ; Wang BH; Su CH; Chen PT; Lin WQ; Wu CS; Dai HJ
    Stud Health Technol Inform; 2022 Jun; 290():627-631. PubMed ID: 35673092
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Learning to Make Rare and Complex Diagnoses With Generative AI Assistance: Qualitative Study of Popular Large Language Models.
    Abdullahi T; Singh R; Eickhoff C
    JMIR Med Educ; 2024 Feb; 10():e51391. PubMed ID: 38349725
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Leveraging Large Language Models (LLM) for the Plastic Surgery Resident Training: Do They Have a Role?
    Mohapatra DP; Thiruvoth FM; Tripathy S; Rajan S; Vathulya M; Lakshmi P; Singh VK; Haq AU
    Indian J Plast Surg; 2023 Oct; 56(5):413-420. PubMed ID: 38026769
    [No Abstract]   [Full Text] [Related]  

  • 10. Triage Performance Across Large Language Models, ChatGPT, and Untrained Doctors in Emergency Medicine: Comparative Study.
    Masanneck L; Schmidt L; Seifert A; Kölsche T; Huntemann N; Jansen R; Mehsin M; Bernhard M; Meuth SG; Böhm L; Pawlitzki M
    J Med Internet Res; 2024 Jun; 26():e53297. PubMed ID: 38875696
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Deidentification of free-text medical records using pre-trained bidirectional transformers.
    Johnson AEW; Bulgarelli L; Pollard TJ
    Proc ACM Conf Health Inference Learn (2020); 2020 Apr; 2020():214-221. PubMed ID: 34350426
    [TBL] [Abstract][Full Text] [Related]  

  • 12. An Extensible Evaluation Framework Applied to Clinical Text Deidentification Natural Language Processing Tools: Multisystem and Multicorpus Study.
    Heider PM; Meystre SM
    J Med Internet Res; 2024 May; 26():e55676. PubMed ID: 38805692
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Improving the use of LLMs in radiology through prompt engineering: from precision prompts to zero-shot learning.
    Russe MF; Reisert M; Bamberg F; Rau A
    Rofo; 2024 Feb; ():. PubMed ID: 38408477
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. 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]  

  • 17. Evaluation of PHI Hunter in Natural Language Processing Research.
    Redd A; Pickard S; Meystre S; Scehnet J; Bolton D; Heavirland J; Weaver AL; Hope C; Garvin JH
    Perspect Health Inf Manag; 2015; 12(Winter):1f. PubMed ID: 26807078
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Publicly available machine learning models for identifying opioid misuse from the clinical notes of hospitalized patients.
    Sharma B; Dligach D; Swope K; Salisbury-Afshar E; Karnik NS; Joyce C; Afshar M
    BMC Med Inform Decis Mak; 2020 Apr; 20(1):79. PubMed ID: 32349766
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Potential of Large Language Models in Health Care: Delphi Study.
    Denecke K; May R; ; Rivera Romero O
    J Med Internet Res; 2024 May; 26():e52399. PubMed ID: 38739445
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Evaluation of the Performance of Generative AI Large Language Models ChatGPT, Google Bard, and Microsoft Bing Chat in Supporting Evidence-Based Dentistry: Comparative Mixed Methods Study.
    Giannakopoulos K; Kavadella A; Aaqel Salim A; Stamatopoulos V; Kaklamanos EG
    J Med Internet Res; 2023 Dec; 25():e51580. PubMed ID: 38009003
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 21.