Accurate discharge summary generation using fine tuned large language models with self evaluation
Abstract Discharge summaries are critical for patient care continuity, clinical decision-making, and legal documentation, yet their creation is labor-intensive. Clinicians must manually integrate diverse data from multiple sources under time constraints, often leading to delays, inconsistencies, and...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Nature Portfolio
2026-01-01
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| Series: | Scientific Reports |
| Assuntos: | |
| Acceso en liña: | https://doi.org/10.1038/s41598-026-35552-z |
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