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Abstract Introduction: ChatGPT is an artificial intelligence developed by OpenAI. It can be used to generate positive and differential diagnoses. However, its effectiveness in a cardiology department in Africa has not been studied. Objectives: To evaluate the diagnostic accuracy of ChatGPT4 in the cardiology department of the Bogodogo University Hospital Center. Patients and Methods: This was a retrospective descriptive study conducted from 1st April to 30 May 2024 in the cardiology department of the Bogodogo University Hospital. Our primary endpoint was whether the main diagnosis of ChatGPT corresponded to the final diagnosis made by the cardiologists. Results: Out of 50 patients collected, ChatGPT found the diagnosis on the basis of clinical data in 35.19%. In 81.48% of cases, ChatGPT's diagnosis was one of the cardiologist's three hypotheses and in 64.81% of cases the diagnosis was found with certainty by ChatGPT. The differential diagnosis listed by ChatGPT was score 5 in 46 patients. All the diagnoses of the aetiological groups were found by ChatGPT in 100% of cases except in the hypertensive and ischaemic cardiomyopathy groups. Conclusion: ChatGPT demonstrated a variable ability to generate accurate diagnoses, with a significant improvement when paraclinical data was included.
Nacanabo et al. (Tue,) studied this question.