Anki Tagger: A Generative AI Tool for Aligning Third-Party Resources to Preclinical Curriculum
Using large language models, we developed a method to efficiently query existing flashcard libraries and select those most relevant to an individual's medical school curricula.
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
JMIR Publications
2023-09-01
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| Series: | JMIR Medical Education |
| Online Access: | https://mededu.jmir.org/2023/1/e48780 |
| _version_ | 1797679849381298176 |
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| author | Tricia Pendergrast Zachary Chalmers |
| author_facet | Tricia Pendergrast Zachary Chalmers |
| author_sort | Tricia Pendergrast |
| collection | DOAJ |
| description |
Using large language models, we developed a method to efficiently query existing flashcard libraries and select those most relevant to an individual's medical school curricula. |
| first_indexed | 2024-03-11T23:20:53Z |
| format | Article |
| id | doaj.art-c59eff49d7014ca49de4fcebce790a3a |
| institution | Directory Open Access Journal |
| issn | 2369-3762 |
| language | English |
| last_indexed | 2024-03-11T23:20:53Z |
| publishDate | 2023-09-01 |
| publisher | JMIR Publications |
| record_format | Article |
| series | JMIR Medical Education |
| spelling | doaj.art-c59eff49d7014ca49de4fcebce790a3a2023-09-20T13:32:09ZengJMIR PublicationsJMIR Medical Education2369-37622023-09-019e4878010.2196/48780Anki Tagger: A Generative AI Tool for Aligning Third-Party Resources to Preclinical CurriculumTricia Pendergrasthttps://orcid.org/0000-0002-2396-9100Zachary Chalmershttps://orcid.org/0000-0003-1012-8529 Using large language models, we developed a method to efficiently query existing flashcard libraries and select those most relevant to an individual's medical school curricula.https://mededu.jmir.org/2023/1/e48780 |
| spellingShingle | Tricia Pendergrast Zachary Chalmers Anki Tagger: A Generative AI Tool for Aligning Third-Party Resources to Preclinical Curriculum JMIR Medical Education |
| title | Anki Tagger: A Generative AI Tool for Aligning Third-Party Resources to Preclinical Curriculum |
| title_full | Anki Tagger: A Generative AI Tool for Aligning Third-Party Resources to Preclinical Curriculum |
| title_fullStr | Anki Tagger: A Generative AI Tool for Aligning Third-Party Resources to Preclinical Curriculum |
| title_full_unstemmed | Anki Tagger: A Generative AI Tool for Aligning Third-Party Resources to Preclinical Curriculum |
| title_short | Anki Tagger: A Generative AI Tool for Aligning Third-Party Resources to Preclinical Curriculum |
| title_sort | anki tagger a generative ai tool for aligning third party resources to preclinical curriculum |
| url | https://mededu.jmir.org/2023/1/e48780 |
| work_keys_str_mv | AT triciapendergrast ankitaggeragenerativeaitoolforaligningthirdpartyresourcestopreclinicalcurriculum AT zacharychalmers ankitaggeragenerativeaitoolforaligningthirdpartyresourcestopreclinicalcurriculum |