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Analyzing the Performance of ChatGPT in Cardiology and Vascular Pathologies (2307.02518v1)

Published 15 Apr 2023 in cs.CL and cs.CY

Abstract: The article aims to analyze the performance of ChatGPT, a LLM 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.

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Authors (1)
  1. Walid Hariri (7 papers)
Citations (2)