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.
292 related articles for article (PubMed ID: 38684792)
1. Large language models leverage external knowledge to extend clinical insight beyond language boundaries. Wu J; Wu X; Qiu Z; Li M; Lin S; Zhang Y; Zheng Y; Yuan C; Yang J J Am Med Inform Assoc; 2024 Sep; 31(9):2054-2064. PubMed ID: 38684792 [TBL] [Abstract][Full Text] [Related]
2. Influence of Model Evolution and System Roles on ChatGPT's Performance in Chinese Medical Licensing Exams: Comparative Study. Ming S; Guo Q; Cheng W; Lei B JMIR Med Educ; 2024 Aug; 10():e52784. PubMed ID: 39140269 [TBL] [Abstract][Full Text] [Related]
3. 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]
4. Performance of ChatGPT on Nursing Licensure Examinations in the United States and China: Cross-Sectional Study. Wu Z; Gan W; Xue Z; Ni Z; Zheng X; Zhang Y JMIR Med Educ; 2024 Oct; 10():e52746. PubMed ID: 39363539 [TBL] [Abstract][Full Text] [Related]
5. Performance and exploration of ChatGPT in medical examination, records and education in Chinese: Pave the way for medical AI. Wang H; Wu W; Dou Z; He L; Yang L Int J Med Inform; 2023 Sep; 177():105173. PubMed ID: 37549499 [TBL] [Abstract][Full Text] [Related]
6. Performance of ChatGPT Across Different Versions in Medical Licensing Examinations Worldwide: Systematic Review and Meta-Analysis. Liu M; Okuhara T; Chang X; Shirabe R; Nishiie Y; Okada H; Kiuchi T J Med Internet Res; 2024 Jul; 26():e60807. PubMed ID: 39052324 [TBL] [Abstract][Full Text] [Related]
7. How Does ChatGPT Perform on the United States Medical Licensing Examination (USMLE)? The Implications of Large Language Models for Medical Education and Knowledge Assessment. Gilson A; Safranek CW; Huang T; Socrates V; Chi L; Taylor RA; Chartash D JMIR Med Educ; 2023 Feb; 9():e45312. PubMed ID: 36753318 [TBL] [Abstract][Full Text] [Related]
8. Evaluating Large Language Models for the National Premedical Exam in India: Comparative Analysis of GPT-3.5, GPT-4, and Bard. Farhat F; Chaudhry BM; Nadeem M; Sohail SS; Madsen DØ JMIR Med Educ; 2024 Feb; 10():e51523. PubMed ID: 38381486 [TBL] [Abstract][Full Text] [Related]
9. Evaluating the Capabilities of Generative AI Tools in Understanding Medical Papers: Qualitative Study. Akyon SH; Akyon FC; Camyar AS; Hızlı F; Sari T; Hızlı Ş JMIR Med Inform; 2024 Sep; 12():e59258. PubMed ID: 39230947 [TBL] [Abstract][Full Text] [Related]
10. Distilling large language models for matching patients to clinical trials. Nievas M; Basu A; Wang Y; Singh H J Am Med Inform Assoc; 2024 Sep; 31(9):1953-1963. PubMed ID: 38641416 [TBL] [Abstract][Full Text] [Related]
11. Use of SNOMED CT in Large Language Models: Scoping Review. Chang E; Sung S JMIR Med Inform; 2024 Oct; 12():e62924. PubMed ID: 39374057 [TBL] [Abstract][Full Text] [Related]
12. 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]
13. Performance of ChatGPT on the Chinese Postgraduate Examination for Clinical Medicine: Survey Study. Yu P; Fang C; Liu X; Fu W; Ling J; Yan Z; Jiang Y; Cao Z; Wu M; Chen Z; Zhu W; Zhang Y; Abudukeremu A; Wang Y; Liu X; Wang J JMIR Med Educ; 2024 Feb; 10():e48514. PubMed ID: 38335017 [TBL] [Abstract][Full Text] [Related]
14. The potential and pitfalls of using a large language model such as ChatGPT, GPT-4, or LLaMA as a clinical assistant. Zhang J; Sun K; Jagadeesh A; Falakaflaki P; Kayayan E; Tao G; Haghighat Ghahfarokhi M; Gupta D; Gupta A; Gupta V; Guo Y J Am Med Inform Assoc; 2024 Sep; 31(9):1884-1891. PubMed ID: 39018498 [TBL] [Abstract][Full Text] [Related]
15. Can ChatGPT pass the MRCP (UK) written examinations? Analysis of performance and errors using a clinical decision-reasoning framework. Maitland A; Fowkes R; Maitland S BMJ Open; 2024 Mar; 14(3):e080558. PubMed ID: 38490655 [TBL] [Abstract][Full Text] [Related]
16. On the role of the UMLS in supporting diagnosis generation proposed by Large Language Models. Afshar M; Gao Y; Gupta D; Croxford E; Demner-Fushman D J Biomed Inform; 2024 Sep; 157():104707. PubMed ID: 39142598 [TBL] [Abstract][Full Text] [Related]
17. Improving large language models for clinical named entity recognition via prompt engineering. Hu Y; Chen Q; Du J; Peng X; Keloth VK; Zuo X; Zhou Y; Li Z; Jiang X; Lu Z; Roberts K; Xu H J Am Med Inform Assoc; 2024 Sep; 31(9):1812-1820. PubMed ID: 38281112 [TBL] [Abstract][Full Text] [Related]
18. The Role of Large Language Models in Transforming Emergency Medicine: Scoping Review. Preiksaitis C; Ashenburg N; Bunney G; Chu A; Kabeer R; Riley F; Ribeira R; Rose C JMIR Med Inform; 2024 May; 12():e53787. PubMed ID: 38728687 [TBL] [Abstract][Full Text] [Related]
19. An Entity Extraction Pipeline for Medical Text Records Using Large Language Models: Analytical Study. Wang L; Ma Y; Bi W; Lv H; Li Y J Med Internet Res; 2024 Mar; 26():e54580. PubMed ID: 38551633 [TBL] [Abstract][Full Text] [Related]
20. A bilingual benchmark for evaluating large language models. Alkaoud M PeerJ Comput Sci; 2024; 10():e1893. PubMed ID: 38435597 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]