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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 Technology & Engineering
discipline_facet Technology & Engineering
format Online Article
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genre Journal Article
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journal_source_facet JMIR Biomedical Engineering
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Increasing Large Language Model Accuracy for Care-Seeking Advice Using Prompts Reflecting Human Reasoning Strategies in the Real World: Validation Study
Biotechnology
Technology & Engineering — Computing
Technology & Engineering
sub_discipline_display Technology & Engineering — Computing
sub_discipline_facet Technology & Engineering — Computing
subject_display Biotechnology
Technology & Engineering — Computing
Technology & Engineering
Biotechnology
Technology & Engineering — Computing
Technology & Engineering
subject_facet Biotechnology
Technology & Engineering — Computing
Technology & Engineering
title Increasing Large Language Model Accuracy for Care-Seeking Advice Using Prompts Reflecting Human Reasoning Strategies in the Real World: Validation Study
title_auth Increasing Large Language Model Accuracy for Care-Seeking Advice Using Prompts Reflecting Human Reasoning Strategies in the Real World: Validation Study
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_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
Technology & Engineering — Computing
Technology & Engineering
url https://biomedeng.jmir.org/2026/1/e88053