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Comparative benchmarking of three artificial intelligence chatbots (ChatGPT-5.1, Qwen- 3 Max, and Perplexity AI) on faculty validated undergraduate respiratory physiology multiple-choice examinations
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| Published in: | La Tunisie Médicale |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1867339074170257410 |
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| collection | WordPress RSS FRELIP Feed Integration |
| container_title | La Tunisie Médicale |
| description | |
| discipline_display | African Open Access — Medical & Health Sciences |
| discipline_facet | African Open Access — Medical & Health Sciences |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:87075 |
| institution | FRELIP |
| journal_source_facet | La Tunisie Médicale |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Comparative benchmarking of three artificial intelligence chatbots (ChatGPT-5.1, Qwen- 3 Max, and Perplexity AI) on faculty validated undergraduate respiratory physiology multiple-choice examinations African Open Access — Medical & Health Sciences General African Open Access — Medical & Health Sciences |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | African Open Access — Medical & Health Sciences General African Open Access — Medical & Health Sciences African Open Access — Medical & Health Sciences General African Open Access — Medical & Health Sciences |
| subject_facet | African Open Access — Medical & Health Sciences General African Open Access — Medical & Health Sciences |
| title | Comparative benchmarking of three artificial intelligence chatbots (ChatGPT-5.1, Qwen- 3 Max, and Perplexity AI) on faculty validated undergraduate respiratory physiology multiple-choice examinations |
| title_auth | Comparative benchmarking of three artificial intelligence chatbots (ChatGPT-5.1, Qwen- 3 Max, and Perplexity AI) on faculty validated undergraduate respiratory physiology multiple-choice examinations |
| title_full | Comparative benchmarking of three artificial intelligence chatbots (ChatGPT-5.1, Qwen- 3 Max, and Perplexity AI) on faculty validated undergraduate respiratory physiology multiple-choice examinations |
| title_fullStr | Comparative benchmarking of three artificial intelligence chatbots (ChatGPT-5.1, Qwen- 3 Max, and Perplexity AI) on faculty validated undergraduate respiratory physiology multiple-choice examinations |
| title_full_unstemmed | Comparative benchmarking of three artificial intelligence chatbots (ChatGPT-5.1, Qwen- 3 Max, and Perplexity AI) on faculty validated undergraduate respiratory physiology multiple-choice examinations |
| title_short | Comparative benchmarking of three artificial intelligence chatbots (ChatGPT-5.1, Qwen- 3 Max, and Perplexity AI) on faculty validated undergraduate respiratory physiology multiple-choice examinations |
| title_sort | comparative benchmarking of three artificial intelligence chatbots (chatgpt-5.1, qwen- 3 max, and perplexity ai) on faculty validated undergraduate respiratory physiology multiple-choice examinations |
| topic | African Open Access — Medical & Health Sciences General African Open Access — Medical & Health Sciences |
| url | https://latunisiemedicale.com/index.php/tunismed/article/view/6620 |