Results 141 to 150 of about 1,205,220 (192)

Hyper-MDR: An open-world multimodal reasoning framework based on dynamic hypergraph and meta-strategy optimization. [PDF]

PLoS One
Shi J, Huang X, Yuan L.
europepmc   +1 more source

Toward Audit-Ready Standards for Synthetic Cohorts in Health Decision Science. [PDF]

Health Data Sci
Vijayasimha M.
europepmc   +1 more source

Unveiling patterns in clinical data: exploring the role of large language models and clustering algorithms. [PDF]

Front Artif Intell
Ali AS, Gandhi S, Jafri SH, Ali MM, Raza SY, Samian S, Mehaffey J.   +6 more
europepmc   +1 more source

Development and Evaluation of SNOMED CT Automated Mapping Tool: Advancing Terminology Standardization and Semantic Interoperability.

JMIR Med Inform
Park Y, Kang H, Kim J, Shin SY, Cho D, Rhee SY, Park HS, Lee KJ, Bae S.   +8 more
europepmc   +1 more source

Intervention in Health Misinformation Using Large Language Models for Automated Detection, Thematic Analysis, and Inoculation: Case Study on COVID-19.

J Med Internet Res
Malek S, Griffin C, Fraleigh RD, Lennon R, Monga V, Shen L.   +5 more
europepmc   +1 more source

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Large Language Models

NEJM Evidence, 2023
Large Language ModelsIn the latest edition of Stats, STAT!, Fralick and colleagues explain the statistics behind large language models - used in chat bots like ChatGPT and Bard. While these new tools may seem remarkably intelligent, at their core they just assemble sentences based on statistics from large amounts of text.
Michael, Fralick, Chana A, Sacks, Daniel, Muller, Tim, Vining, Emily, Ling, Jeffrey M, Drazen, C Corey, Hardin   +6 more
openaire   +2 more sources