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Fine-Tuning, Retrieval-Augmented Generation, and Hybrid Large Language Models for Postoperative Decision Support: Comparative Analysis

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Bibliographic Details
Published in:Journal of Medical Internet Research
Format: Online Article RSS Article
Published: 2026
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container_title Journal of Medical Internet Research
description
discipline_display Internal Medicine
discipline_facet Internal Medicine
format Online Article
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genre Journal Article
id rss_article:103324
institution FRELIP
journal_source_facet Journal of Medical Internet Research
last_indexed 2026-07-16T03:34:39.486Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Fine-Tuning, Retrieval-Augmented Generation, and Hybrid Large Language Models for Postoperative Decision Support: Comparative Analysis
Internal Medicine
General
Internal Medicine
sub_discipline_display General
sub_discipline_facet General
subject_display Internal Medicine
General
Internal Medicine
subject_facet Internal Medicine
General
Internal Medicine
title Fine-Tuning, Retrieval-Augmented Generation, and Hybrid Large Language Models for Postoperative Decision Support: Comparative Analysis
title_alt Ajuste fino, generación aumentada por recuperación y modelos de lenguaje grandes híbridos para apoyo a la decisión postoperatoria: análisis comparativo
Réglage fin, génération augmentée par récupération et modèles de langage hybrides pour le soutien à la décision postopératoire : analyse comparative
Ajuste Fino, Geração Aumentada por Recuperação e Modelos de Linguagem Grandes Híbridos para Suporte à Decisão Pós-operatória: Análise Comparativa
title_auth Fine-Tuning, Retrieval-Augmented Generation, and Hybrid Large Language Models for Postoperative Decision Support: Comparative Analysis
title_es_txt Ajuste fino, generación aumentada por recuperación y modelos de lenguaje grandes híbridos para apoyo a la decisión postoperatoria: análisis comparativo
title_fr_txt Réglage fin, génération augmentée par récupération et modèles de langage hybrides pour le soutien à la décision postopératoire : analyse comparative
title_full Fine-Tuning, Retrieval-Augmented Generation, and Hybrid Large Language Models for Postoperative Decision Support: Comparative Analysis
title_fullStr Fine-Tuning, Retrieval-Augmented Generation, and Hybrid Large Language Models for Postoperative Decision Support: Comparative Analysis
title_full_unstemmed Fine-Tuning, Retrieval-Augmented Generation, and Hybrid Large Language Models for Postoperative Decision Support: Comparative Analysis
title_pt_txt Ajuste Fino, Geração Aumentada por Recuperação e Modelos de Linguagem Grandes Híbridos para Suporte à Decisão Pós-operatória: Análise Comparativa
title_short Fine-Tuning, Retrieval-Augmented Generation, and Hybrid Large Language Models for Postoperative Decision Support: Comparative Analysis
title_sort fine-tuning, retrieval-augmented generation, and hybrid large language models for postoperative decision support: comparative analysis
topic Internal Medicine
General
Internal Medicine
url https://www.jmir.org/2026/1/e90692