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Increasing Large Language Model Accuracy for Care-Seeking Advice Using Prompts Reflecting Human Reasoning Strategies in the Real World: Validation Study

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Published in:JMIR Biomedical Engineering
Format: Online Article RSS Article
Published: 2026
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container_title JMIR Biomedical Engineering
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discipline_display Biotechnology
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journal_source_facet JMIR Biomedical Engineering
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publishDate 2026
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spellingShingle Increasing Large Language Model Accuracy for Care-Seeking Advice Using Prompts Reflecting Human Reasoning Strategies in the Real World: Validation Study
Biotechnology
General
Biotechnology
sub_discipline_display General
sub_discipline_facet General
subject_display Biotechnology
General
Biotechnology
subject_facet Biotechnology
General
Biotechnology
title Increasing Large Language Model Accuracy for Care-Seeking Advice Using Prompts Reflecting Human Reasoning Strategies in the Real World: Validation Study
title_alt Aumento de la precisión de modelos de lenguaje grandes para consejos de búsqueda de atención utilizando indicaciones que reflejan estrategias de razonamiento humano en el mundo real: Estudio de validación
Augmentation de la précision des grands modèles de langage pour les conseils de recherche de soins en utilisant des invites reflétant les stratégies de raisonnement humain dans le monde réel : Étude de validation
Aumentando a precisão de modelos de linguagem grandes para aconselhamento de busca de cuidados usando prompts que refletem estratégias de raciocínio humano no mundo real: Estudo de validação
title_auth Increasing Large Language Model Accuracy for Care-Seeking Advice Using Prompts Reflecting Human Reasoning Strategies in the Real World: Validation Study
title_es_txt Aumento de la precisión de modelos de lenguaje grandes para consejos de búsqueda de atención utilizando indicaciones que reflejan estrategias de razonamiento humano en el mundo real: Estudio de validación
title_fr_txt Augmentation de la précision des grands modèles de langage pour les conseils de recherche de soins en utilisant des invites reflétant les stratégies de raisonnement humain dans le monde réel : Étude de validation
title_full Increasing Large Language Model Accuracy for Care-Seeking Advice Using Prompts Reflecting Human Reasoning Strategies in the Real World: Validation Study
title_fullStr Increasing Large Language Model Accuracy for Care-Seeking Advice Using Prompts Reflecting Human Reasoning Strategies in the Real World: Validation Study
title_full_unstemmed Increasing Large Language Model Accuracy for Care-Seeking Advice Using Prompts Reflecting Human Reasoning Strategies in the Real World: Validation Study
title_pt_txt Aumentando a precisão de modelos de linguagem grandes para aconselhamento de busca de cuidados usando prompts que refletem estratégias de raciocínio humano no mundo real: Estudo de validação
title_short Increasing Large Language Model Accuracy for Care-Seeking Advice Using Prompts Reflecting Human Reasoning Strategies in the Real World: Validation Study
title_sort increasing large language model accuracy for care-seeking advice using prompts reflecting human reasoning strategies in the real world: validation study
topic Biotechnology
General
Biotechnology
url https://biomedeng.jmir.org/2026/1/e88053