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Large Language Models for World Health Organization–Uppsala Monitoring Centre Drug–Adverse Event Causality Assessment Using Food and Drug Administration Adverse Event Reporting System Cases: Comparative Performance Study

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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 Communications
discipline_facet Communications
format Online Article
RSS Article
genre Journal Article
id rss_article:101267
institution FRELIP
journal_source_facet Journal of Medical Internet Research
last_indexed 2026-07-09T03:36:12.890Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Large Language Models for World Health Organization–Uppsala Monitoring Centre Drug–Adverse Event Causality Assessment Using Food and Drug Administration Adverse Event Reporting System Cases: Comparative Performance Study
Communications
General
Communications
sub_discipline_display General
sub_discipline_facet General
subject_display Communications
General
Communications
subject_facet Communications
General
Communications
title Large Language Models for World Health Organization–Uppsala Monitoring Centre Drug–Adverse Event Causality Assessment Using Food and Drug Administration Adverse Event Reporting System Cases: Comparative Performance Study
title_alt Modelos de Lenguaje Grande para la Evaluación de Causalidad Fármaco-Reacción Adversa del Centro de Monitoreo de Uppsala de la Organización Mundial de la Salud Utilizando Casos del Sistema de Reporte de Eventos Adversos de la Administración de Alimentos y Medicamentos: Estudio Comparativo de Rendimiento
Grands modèles de langage pour l'évaluation de la causalité médicament-événement indésirable du Centre de surveillance d'Uppsala de l'OMS utilisant les cas du système de déclaration des événements indésirables de la FDA : étude comparative de performance
Modelos de Linguagem Grande para Avaliação de Causalidade Medicamento-Evento Adverso do Centro de Monitoramento de Uppsala da Organização Mundial da Saúde Usando Casos do Sistema de Relatos de Eventos Adversos da Administração de Alimentos e Medicamentos: Estudo de Desempenho Comparativo
title_auth Large Language Models for World Health Organization–Uppsala Monitoring Centre Drug–Adverse Event Causality Assessment Using Food and Drug Administration Adverse Event Reporting System Cases: Comparative Performance Study
title_es_txt Modelos de Lenguaje Grande para la Evaluación de Causalidad Fármaco-Reacción Adversa del Centro de Monitoreo de Uppsala de la Organización Mundial de la Salud Utilizando Casos del Sistema de Reporte de Eventos Adversos de la Administración de Alimentos y Medicamentos: Estudio Comparativo de Rendimiento
title_fr_txt Grands modèles de langage pour l'évaluation de la causalité médicament-événement indésirable du Centre de surveillance d'Uppsala de l'OMS utilisant les cas du système de déclaration des événements indésirables de la FDA : étude comparative de performance
title_full Large Language Models for World Health Organization–Uppsala Monitoring Centre Drug–Adverse Event Causality Assessment Using Food and Drug Administration Adverse Event Reporting System Cases: Comparative Performance Study
title_fullStr Large Language Models for World Health Organization–Uppsala Monitoring Centre Drug–Adverse Event Causality Assessment Using Food and Drug Administration Adverse Event Reporting System Cases: Comparative Performance Study
title_full_unstemmed Large Language Models for World Health Organization–Uppsala Monitoring Centre Drug–Adverse Event Causality Assessment Using Food and Drug Administration Adverse Event Reporting System Cases: Comparative Performance Study
title_pt_txt Modelos de Linguagem Grande para Avaliação de Causalidade Medicamento-Evento Adverso do Centro de Monitoramento de Uppsala da Organização Mundial da Saúde Usando Casos do Sistema de Relatos de Eventos Adversos da Administração de Alimentos e Medicamentos: Estudo de Desempenho Comparativo
title_short Large Language Models for World Health Organization–Uppsala Monitoring Centre Drug–Adverse Event Causality Assessment Using Food and Drug Administration Adverse Event Reporting System Cases: Comparative Performance Study
title_sort large language models for world health organization–uppsala monitoring centre drug–adverse event causality assessment using food and drug administration adverse event reporting system cases: comparative performance study
topic Communications
General
Communications
url https://www.jmir.org/2026/1/e93237