EchoLLM: extracting echocardiogram entities with light-weight, open-source large language models.
Saved in:
| Title: | EchoLLM: extracting echocardiogram entities with light-weight, open-source large language models. |
|---|---|
| Authors: | Chi J; Goergen Institute for Data Science and Artificial Intelligence, University of Rochester, Rochester, NY 14627, United States., Rouphail Y; Department of Medicine, Institute for Informatics, Data Science and Biostatistics, Washington University in St. Louis, St. Louis, MO 63110, United States., Hillis E; Department of Medicine, Institute for Informatics, Data Science and Biostatistics, Washington University in St. Louis, St. Louis, MO 63110, United States., Ma N; Division of Hospital Medicine, Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, United States., Nguyen A; Division of Pulmonary and Critical Care Medicine, Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, United States., Wang J; Division of Pulmonary and Critical Care Medicine, Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, United States., Hofford M; Department of Medicine, Institute for Informatics, Data Science and Biostatistics, Washington University in St. Louis, St. Louis, MO 63110, United States., Gupta A; Department of Medicine, Institute for Informatics, Data Science and Biostatistics, Washington University in St. Louis, St. Louis, MO 63110, United States., Lyons PG; Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, Oregon Health & Science University, Portland, OR 97239, United States., Wilcox A; Department of Medicine, Institute for Informatics, Data Science and Biostatistics, Washington University in St. Louis, St. Louis, MO 63110, United States., Lai AM; Department of Medicine, Institute for Informatics, Data Science and Biostatistics, Washington University in St. Louis, St. Louis, MO 63110, United States., Payne PRO; Department of Medicine, Institute for Informatics, Data Science and Biostatistics, Washington University in St. Louis, St. Louis, MO 63110, United States., Kollef MH; Division of Pulmonary and Critical Care Medicine, Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, United States., Dreisbach C; Goergen Institute for Data Science and Artificial Intelligence, University of Rochester, Rochester, NY 14627, United States.; School of Nursing, University of Rochester, Rochester, NY 14627, United States., Michelson AP; Department of Medicine, Institute for Informatics, Data Science and Biostatistics, Washington University in St. Louis, St. Louis, MO 63110, United States.; Division of Pulmonary and Critical Care Medicine, Department of Medicine, Washington University in St. Louis, St. Louis, MO 63110, United States. |
| Source: | JAMIA open [JAMIA Open] 2025 Aug 13; Vol. 8 (4), pp. ooaf092. Date of Electronic Publication: 2025 Aug 13 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Oxford University Press on behalf of the American Medical Informatics Association Country of Publication: United States NLM ID: 101730643 Publication Model: eCollection Cited Medium: Internet ISSN: 2574-2531 (Electronic) Linking ISSN: 25742531 NLM ISO Abbreviation: JAMIA Open Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 2574-2531 |
|---|---|
| DOI: | 10.1093/jamiaopen/ooaf092 |
