Analyzing the Performance of ChatGPT in Cardiology and Vascular Pathologies
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arXiv
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| Format: | Preprint |
| Published: |
2023
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| _version_ | 1866914373407080448 |
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| author | Hariri, Walid |
| author_facet | Hariri, Walid |
| contents | The article aims to analyze the performance of ChatGPT, a large language model developed by OpenAI, in the context of cardiology and vascular pathologies. The study evaluated the accuracy of ChatGPT in answering challenging multiple-choice questions (QCM) using a dataset of 190 questions from the Siamois-QCM platform. The goal was to assess ChatGPT potential as a valuable tool in medical education compared to two well-ranked students of medicine. The results showed that ChatGPT outperformed the students, scoring 175 out of 190 correct answers with a percentage of 92.10\%, while the two students achieved scores of 163 and 159 with percentages of 85.78\% and 82.63\%, respectively. These results showcase how ChatGPT has the potential to be highly effective in the fields of cardiology and vascular pathologies by providing accurate answers to relevant questions. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2307_02518 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Analyzing the Performance of ChatGPT in Cardiology and Vascular Pathologies Hariri, Walid Computation and Language Computers and Society The article aims to analyze the performance of ChatGPT, a large language model developed by OpenAI, in the context of cardiology and vascular pathologies. The study evaluated the accuracy of ChatGPT in answering challenging multiple-choice questions (QCM) using a dataset of 190 questions from the Siamois-QCM platform. The goal was to assess ChatGPT potential as a valuable tool in medical education compared to two well-ranked students of medicine. The results showed that ChatGPT outperformed the students, scoring 175 out of 190 correct answers with a percentage of 92.10\%, while the two students achieved scores of 163 and 159 with percentages of 85.78\% and 82.63\%, respectively. These results showcase how ChatGPT has the potential to be highly effective in the fields of cardiology and vascular pathologies by providing accurate answers to relevant questions. |
| title | Analyzing the Performance of ChatGPT in Cardiology and Vascular Pathologies |
| topic | Computation and Language Computers and Society |
| url | https://arxiv.org/abs/2307.02518 |