cirpublications.com-nGox-1790899043-u033966980 1790899043 Clinical Intelligence Research Press info@cirpublications.com Clinical Intelligence Research Press Journal of Health Informatics and Digital Systems J. Health Inform. Digit. Syst. 3149-8973 2024 4 2 Juan Perez Ana Gutierrez Carlos Lopez 2024 10.68159/u033966980 https://cirpublications.com/pub/journal/2/article/u033966980 Ke YH, Singh L, Ong JCL, Ramasamy A, Kim J, Liu N. Retrieval augmented generation for 10 large language models and its generalizability in assessing medical fitness. NPJ Digit Med. 2024;7(1):194. 10.1038/s41746-024-01519-z Amugongo LM, Mascheroni P, Brooks S, Doering S, Seidel J. Retrieval augmented generation for large language models in healthcare: a systematic review. PLOS Digit Health. 2024;3(6):e0000877. 10.1371/journal.pdig.0000877 Yang R, Tan TF, Lu W, Thirunavukarasu AJ, Li X, Ji S, et al. Retrieval-augmented generation for generative artificial intelligence in health care. NPJ Health Syst. 2024;1(1):4. 10.1038/s44401-024-00004-1 Alkhalaf M, McAlaney J, Al Jami I, Al Hamad N, Al Zuabi H, Al Salem M, et al. Applying generative AI with retrieval augmented generation to summarize and extract key clinical information from electronic health records. J Biomed Inform. 2024;152:104621. 10.1016/j.jbi.2024.104621 Gargari OK, Habibi G. Enhancing medical AI with retrieval-augmented generation: a mini narrative review. Digit Health. 2024;10:20552076241337177. 10.1177/205520762413371199 Baur D, Voelker A, Freyer O. Development and evaluation of a retrieval-augmented generation chatbot for orthopedic and trauma surgery patient education: mixed-methods study. JMIR AI. 2024;3(1):e75262. 10.2196/75262 Liu S, Wang L, Lu V, Patel A, Pierce L, Meier J, et al. Improving large language model performance in biomedicine with retrieval-augmented generation. J Am Med Inform Assoc. 2024;31(4):605-15. Soong D, Ong J, Ng CH, Ong YL, Ke Y, Liu N. Improving accuracy of GPT-3/4 results on biomedical data using a retrieval-augmented language model. PLOS Digit Health. 2024;3(1):e0000568. 10.1371/journal.pdig.0000568 Xu R, Liu S, Zhu L, Long Y, Zeng Y, Lu X, et al. RAM-EHR: retrieval augmentation meets clinical predictions on electronic health records. Proc Annu Meet Assoc Comput Linguist. 2024;1:701-14. Nayinzira JP, Lee J, Cha H. SentimentCareBot: retrieval-augmented generation chatbot for mental health support with sentiment analysis. Procedia Comput Sci. 2024;225:3352-9. 10.1016/j.procs.2024.04.331 Aguzzi G, Carrera A, Riggio R. Applying retrieval-augmented generation on open LLMs for a medical chatbot supporting hypertensive patients. CEUR Workshop Proc. 2024;3880:1-13. Freyer O. A future role for health applications of large language models depends on regulators enforcing safety standards. Lancet Digit Health. 2024;6(5):e300-e301. 10.1016/S2589-7500(24)00124-9 Unlu O, Salik A, Sun H, McBee M, Johnson PT, Fishman EK, et al. Retrieval augmented generation enabled generative pre-trained transformer 4 performance for clinical trial screening. Acad Radiol. 2024;31(6):2450-9. 10.1016/j.acra.2024.02.002 Roy K, Klyne A, Iqbal S, Liu F, Zhang C, Firat M. Generative AI and external knowledge-based retrieval: upgrading scholarly article searches for systematic reviews. Proc AAAI Conf Artif Intell. 2024;38(21):23960-2. 10.1609/aaai.v38i21.30577 Abdulnazar A. Large language models for clinical text cleansing enhance medical concept normalization. IEEE Trans Biomed Eng. 2024;71(10):3152-62. 10.1109/TBME.2024.3403053 Zeng S, Yuan Y, Ni X, Pan J, Li Y, Berrios M, et al. The good and the bad: exploring privacy issues in retrieval-augmented generation (RAG). Findings Assoc Comput Linguist. 2024;1:267-80. Yilma GM, Morosi N, Javed A, Marchetti G, D’Andrea G, Montanaro F, et al. TelecomRAG: taming telecom standards with retrieval augmented generation and LLMs. ACM SIGCOMM Comput Commun Rev. 2024;54(3):1-8. 10.1145/3711992.3711996 Wang D, Wu Y, Xu M, Gao L, Li Y, Shang X, et al. Enhancement of the performance of large language models in diabetes education through retrieval-augmented generation. J Med Internet Res. 2024;26(1):e59441. 10.2196/59441 Mensah PB, Quao N, Abass K, Amegavi GB, Agyemang-Duah W, Appiah R, et al. All you need is context: clinician evaluations of various iterations of a large language model-based first aid decision support tool in Ghana. Int J Environ Res Public Health. 2024;21(3):314. 10.3390/ijerph21030314 Hou Y, Wang Y, Wang H, Li Y, Shang X, Shi D, et al. Enhancing dietary supplement question answer via retrieval-augmented generation with LLM. medRxiv. 2024. 10.1101/2024.09.11.24313513 Ke Y, Ramasamy A, Ong JCL, Kim J, Liu N. Mitigating cognitive biases in clinical decision-making through multi-agent conversations using large language models. JMIR Med Inform. 2024;12(1):e59439. 10.2196/59439 Ho CM, Guan S, Mok PKL, Lam CHW, Ho WY, Mak CH, et al. Development and validation of a large language model–powered chatbot for neurosurgery: mixed methods study. J Med Internet Res. 2024;26:e74299. 10.2196/74299 Xu X, Liu S, Zhu L, Long Y, Zeng Y, Lu X, et al. Development and evaluation of a retrieval-augmented large language model framework for enhancing endodontic education. Int J Med Inform. 2024;185:106006. 10.1016/j.ijmedinf.2024.106006 Kelly A, Noctor E, Ryan L, van de Ven P. The effectiveness of a custom AI chatbot for type 2 diabetes mellitus health literacy: development and evaluation study. J Med Internet Res. 2024;26:e70131. 10.2196/70131 Son N, Kang I, Kim I, Lee K, Nam S, Lee D. Development and evaluation of a retrieval-augmented generation-based electronic medical record chatbot system. Healthc Inform Res. 2024;30(3):218-25. 10.4258/hir.2024.30.3.218 Busch F, Kaibel L, Nguyen H, Lemke T, Ziegelmayer S, Graf M, et al. Evaluation of a retrieval-augmented generation-powered chatbot for pre-CT informed consent: a prospective comparative study. J Imaging Inform Med. 2024;37(4):1-12. 10.1007/s10278-024-01123-5 Kreimeyer K, Canzoniero JV, Fatteh M, Anagnostou V, Botsis T. Using retrieval-augmented generation to capture molecularly-driven treatment relationships for precision oncology. Stud Health Technol Inform. 2024;31:983-7. 10.3233/SHTI240983 Chen X, Zhao Z, Zhang W, Xu P, Wu Y, Xu M, et al. EyeGPT: large language models for patient inquiries and medical education: development and validation of an ophthalmology large language model. J Med Internet Res. 2024;26:e60063. 10.2196/60063 Malik S, Frey LJ, Gutman J, Mushtaq A, Warraich F, Qureshi K. Evaluating artificial intelligence-driven responses to acute liver failure queries: a comparative analysis across accuracy, clarity, and relevance. Am J Gastroenterol. 2024;119(9):2081-5. 10.14309/ajg.0000000000002947