Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

Search Page

Filters

My Custom Filters

Results by year

Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1975 2
1979 1
1981 2
1982 3
1983 4
1984 1
1985 3
1986 2
1987 3
1988 4
1989 4
1990 8
1991 7
1992 7
1993 8
1994 15
1995 11
1996 13
1997 16
1998 26
1999 23
2000 33
2001 30
2002 27
2003 43
2004 65
2005 77
2006 66
2007 82
2008 91
2009 114
2010 132
2011 124
2012 149
2013 170
2014 212
2015 234
2016 218
2017 269
2018 273
2019 314
2020 381
2021 533
2022 680
2023 1676
2024 4047
2025 3299

Publication date

Text availability

Article attribute

Article type

Additional filters

Article Language

Species

Sex

Age

Other

Search Results

12,218 results

Results by year

Filters applied: . Clear all
Page 1
Development of Prompt Templates for Large Language Model-Driven Screening in Systematic Reviews.
Cao C, Sang J, Arora R, Chen D, Kloosterman R, Cecere M, Gorla J, Saleh R, Drennan I, Teja B, Fehlings M, Ronksley P, Leung AA, Weisz DE, Ware H, Whelan M, Emerson DB, Arora RK, Bobrovitz N. Cao C, et al. Ann Intern Med. 2025 Mar;178(3):389-401. doi: 10.7326/ANNALS-24-02189. Epub 2025 Feb 25. Ann Intern Med. 2025. PMID: 39993313
OBJECTIVE: To develop generic prompt templates for large language model (LLM)-driven abstract and full-text screening that can be adapted to different reviews. ...Prompt development used the GPT4-0125-preview model (OpenAI). PARTICIPANTS: None. MEASURE …
OBJECTIVE: To develop generic prompt templates for large language model (LLM)-driven abstract and full-text screening t …
Large Language Model Applications for Health Information Extraction in Oncology: Scoping Review.
Chen D, Alnassar SA, Avison KE, Huang RS, Raman S. Chen D, et al. JMIR Cancer. 2025 Mar 28;11:e65984. doi: 10.2196/65984. JMIR Cancer. 2025. PMID: 40153782 Free PMC article.
BACKGROUND: Natural language processing systems for data extraction from unstructured clinical text require expert-driven input for labeled annotations and model training. The natural language processing competency of large language models …
BACKGROUND: Natural language processing systems for data extraction from unstructured clinical text require expert-driven input for l …
Testing and Evaluation of Health Care Applications of Large Language Models: A Systematic Review.
Bedi S, Liu Y, Orr-Ewing L, Dash D, Koyejo S, Callahan A, Fries JA, Wornow M, Swaminathan A, Lehmann LS, Hong HJ, Kashyap M, Chaurasia AR, Shah NR, Singh K, Tazbaz T, Milstein A, Pfeffer MA, Shah NH. Bedi S, et al. JAMA. 2025 Jan 28;333(4):319-328. doi: 10.1001/jama.2024.21700. JAMA. 2025. PMID: 39405325 Free PMC article.
IMPORTANCE: Large language models (LLMs) can assist in various health care activities, but current evaluation approaches may not adequately identify the most useful application areas. OBJECTIVE: To summarize existing evaluations of LLMs in health care in term …
IMPORTANCE: Large language models (LLMs) can assist in various health care activities, but current evaluation approache …
Large Language Model Architectures in Health Care: Scoping Review of Research Perspectives.
Leiser F, Guse R, Sunyaev A. Leiser F, et al. J Med Internet Res. 2025 Jun 19;27:e70315. doi: 10.2196/70315. J Med Internet Res. 2025. PMID: 40536801 Free article.
BACKGROUND: Large language models (LLMs) can support health care professionals in their daily work, for example, when writing and filing reports or communicating diagnoses. ...In contrast, BERT-based models are used for medical tasks such as knowledge …
BACKGROUND: Large language models (LLMs) can support health care professionals in their daily work, for example, when w …
Impact of large language model (ChatGPT) in healthcare: an umbrella review and evidence synthesis.
Iqbal U, Tanweer A, Rahmanti AR, Greenfield D, Lee LT, Li YJ. Iqbal U, et al. J Biomed Sci. 2025 May 7;32(1):45. doi: 10.1186/s12929-025-01131-z. J Biomed Sci. 2025. PMID: 40335969 Free PMC article.
BACKGROUND: The emergence of Artificial Intelligence (AI), particularly Chat Generative Pre-Trained Transformer (ChatGPT), a Large Language Model (LLM), in healthcare promises to reshape patient care, clinical decision-making, and medical education. ...
BACKGROUND: The emergence of Artificial Intelligence (AI), particularly Chat Generative Pre-Trained Transformer (ChatGPT), a Large …
A systematic review of large language model (LLM) evaluations in clinical medicine.
Shool S, Adimi S, Saboori Amleshi R, Bitaraf E, Golpira R, Tara M. Shool S, et al. BMC Med Inform Decis Mak. 2025 Mar 7;25(1):117. doi: 10.1186/s12911-025-02954-4. BMC Med Inform Decis Mak. 2025. PMID: 40055694 Free PMC article.
BACKGROUND: Large Language Models (LLMs), advanced AI tools based on transformer architectures, demonstrate significant potential in clinical medicine by enhancing decision support, diagnostics, and medical education. ...
BACKGROUND: Large Language Models (LLMs), advanced AI tools based on transformer architectures, demonstrate significant …
Large Language Model-Assisted Genotoxic Metal-Phenolic Nanoplatform for Osteosarcoma Therapy.
Fan Q, He Y, Liu J, Liu Q, Wu Y, Chen Y, Dou Q, Shi J, Kong Q, Ou Y, Guo J. Fan Q, et al. Small. 2025 Feb;21(5):e2403044. doi: 10.1002/smll.202403044. Epub 2024 Dec 13. Small. 2025. PMID: 39670697
Osteosarcoma, a leading primary bone malignancy in children and adolescents, is associated with a poor prognosis and a low global fertility rate. A large language model-assisted phenolic network (LLMPN) platform is demonstrated that integrates the large …
Osteosarcoma, a leading primary bone malignancy in children and adolescents, is associated with a poor prognosis and a low global fertility …
Improving large language model applications in biomedicine with retrieval-augmented generation: a systematic review, meta-analysis, and clinical development guidelines.
Liu S, McCoy AB, Wright A. Liu S, et al. J Am Med Inform Assoc. 2025 Apr 1;32(4):605-615. doi: 10.1093/jamia/ocaf008. J Am Med Inform Assoc. 2025. PMID: 39812777 Free PMC article.
OBJECTIVE: The objectives of this study are to synthesize findings from recent research of retrieval-augmented generation (RAG) and large language models (LLMs) in biomedicine and provide clinical development guidelines to improve effectiveness. ...Searches w …
OBJECTIVE: The objectives of this study are to synthesize findings from recent research of retrieval-augmented generation (RAG) and large …
Large Language Model-Based Assessment of Clinical Reasoning Documentation in the Electronic Health Record Across Two Institutions: Development and Validation Study.
Schaye V, DiTullio D, Guzman BV, Vennemeyer S, Shih H, Reinstein I, Weber DE, Goodman A, Wu DTY, Sartori DJ, Santen SA, Gruppen L, Aphinyanaphongs Y, Burk-Rafel J. Schaye V, et al. J Med Internet Res. 2025 Mar 21;27:e67967. doi: 10.2196/67967. J Med Internet Res. 2025. PMID: 40117575 Free PMC article.
OBJECTIVE: We report the development of named entity recognition (NER), logic-based and large language model (LLM)-based assessments of CR documentation in the electronic health record across 2 institutions (New York University Grossman School of Medicine [NY …
OBJECTIVE: We report the development of named entity recognition (NER), logic-based and large language model (LLM)-base …
Large language model-augmented learning for auto-delineation of treatment targets in head-and-neck cancer radiotherapy.
Rajendran P, Yang Y, Niedermayr TR, Gensheimer M, Beadle B, Le QT, Xing L, Dai X. Rajendran P, et al. Radiother Oncol. 2025 Apr;205:110740. doi: 10.1016/j.radonc.2025.110740. Epub 2025 Jan 22. Radiother Oncol. 2025. PMID: 39855601
MATERIALS AND METHODS: We developed Radformer, an innovative network that utilizes a hierarchical vision transformer as its backbone and integrates large language models (LLMs) to extract and embed clinical data in text-rich form. The model features a …
MATERIALS AND METHODS: We developed Radformer, an innovative network that utilizes a hierarchical vision transformer as its backbone and int …
12,218 results
You have reached the last available page of results. Please see the User Guide for more information.