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Evaluating the Accuracy of Artificial Intelligence vs. Nephrologist in Addressing Common Questions about Diabetic Nephropathy from Patients
Niloufar Ebrahimi;
Mehrbod Vakhshoori;
Seigmund Teichman;
Amir Abdipour
ABSTRACT
Diabetic nephropathy (DN) is one of the most frequent and severe complications of diabetes mellitus that requires early reduction for the individuals most at risk. Effective intervention and management of DN requires a patient's deep insight and helpful information. Patients require accurate information to obtain prevention advice about their kidney disease to make appropriate decisions; individuals may seek artificial intelligence (AI) as online sources instead of communicating with clinicians. Therefore, to evaluate ChatGPT and Google Bard's capabilities in providing accurate information regarding DN compared to nephrologists, we assessed their performance in answering questions related to DN. Our study revealed AI would not eliminate the need for open and detailed discussion with healthcare professionals regarding medical concerns and treatment plans, as they indicated inconsistencies in responses. Additionally, it is imperative to provide real-time health information updates to meet the needs of individuals with DN.
Citation
Please cite as:
Ebrahimi N, Vakhshoori M, Teichman S, Abdipour A
Agreement Between AI and Nephrologists in Addressing Common Patient Questions About Diabetic Nephropathy: Cross-Sectional Study