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The nutritional status of lean and overweight patients was comparable. Signs of malnutrition were detected in both groups. The severity of chronic inflammation and oxidative stress were not related to BMI in PD patients.

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Background The global use of artificial intelligence has the potential to revolutionize the healthcare industry. Despite the fact that artificial intelligence is becoming more popular, there is still a lack of evidence on its use in dermatology. Objective The study aimed to determine the capacity of ChatGPT-3.5 and ChatGPT-4 to support dermatological knowledge and clinical decision-making in medical practice. Methods Three dermatology specialty certificate tests, in English and Polish, consisting of 120 single-best-answer, multiple-choice format questions each, were used to assess ChatGPT-3.5 and ChatGPT-4 performance. Results ChatGPT-4 exceeded the 60% pass rate in every performed test, with a minimum of 80% and 70% correct answers for the English and Polish versions, respectively. ChatGPT-4 performed significantly better on each exam (p<0.01), regardless of the language, compared to ChatGPT-3.5. Furthermore, ChatGPT-4 answered clinical picture-type questions with an average accuracy of 92.98% and 84.21% for English and Polish questions respectively. The difference between the tests in Polish and English did not turn out to be significant but still, ChatGPT-3.5 and ChatGPT-4 in English performed better overall than in Polish by an average of 8 percentage points for each test. Incorrect ChatGPT answers were highly correlated with a lower difficulty index, which denotes questions with higher difficulty in most of the tests. (p<0.05) Conclusion The dermatological knowledge level of ChatGPT was high, with a significantly better performance of ChatGPT-4 than ChatGPT-3.5. Although the use of ChatGPT will not replace the doctor's final decision, physicians should support artificial intelligence development in dermatology to raise the standards of medical care.