Clinical drug report generation using multi-phase prompt large language models
Abstract Accurate and timely synthesis of clinical drug information is essential for pharmacists engaged in evidence-based practice and formulary evaluation. However, generating structured summaries from diverse data sources remains time-intensive. Advances in large language models (LLMs) offer new...
שמור ב:
| Principais autores: | , , , , , , |
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| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
Nature Portfolio
2026-07-01
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| סדרה: | Scientific Reports |
| נושאים: | |
| גישה מקוונת: | https://doi.org/10.1038/s41598-026-47707-z |
| תגים: |
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