Almanac: Retrieval-Augmented Language Models for Clinical Medicine

Large-language models have recently demonstrated impressive zero-shot capabilities in a variety of natural language tasks such as summarization, dialogue generation, and question-answering. Despite many promising applications in clinical medicine, adoption of these models in real-world settings has...

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Detalles Bibliográficos
Autores principales: Zakka, Cyril, Chaurasia, Akash, Shad, Rohan, Dalal, Alex R., Kim, Jennifer L., Moor, Michael, Alexander, Kevin, Ashley, Euan, Boyd, Jack, Boyd, Kathleen, Hirsch, Karen, Langlotz, Curt, Nelson, Joanna, Hiesinger, William
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Journal Experts 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10187428/
https://www.ncbi.nlm.nih.gov/pubmed/37205549
http://dx.doi.org/10.21203/rs.3.rs-2883198/v1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10187428/
https://www.ncbi.nlm.nih.gov/pubmed/37205549
http://dx.doi.org/10.21203/rs.3.rs-2883198/v1

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