  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.
