Fakülteler

Permanent URI for this community

https://dspace.mudanya.edu.tr/handle/20.500.14362/71

Browse

Browsing Fakülteler by Organisation Author "Acar, Nazli"

Now showing 1 - 1 of 1
  • No Thumbnail Available
    Item
    Evaluation of Nutritional Recommendations Provided by the ChatGPT Language Model to Bariatric Surgery Patients
    (Sciendo, 2025-03) Kumru Yildirim, Merve; Bayam, Hikmet; Yildiz, Nida; Gök Kahraman, Fatma; Acar, Nazli; 256218
    ChatGPT is recognized as a promising tool in healthcare by providing continuous support, quick accessibility, and personalized guidance for weight management [1]. In the field of bariatrics, the potential of ChatGPT in post-surgery weight management and nutrition is particularly noteworthy. In a study, the accuracy of the model’s general responses to bariatric questions was confirmed; however, the reliability of its responses to nutrition-specific issues has not yet been examined [2]. In this study, the aim is to evaluate the nutritional recommendations provided by the ChatGPT language model for patients following bariatric surgery through expert dietitians. This study was designed as a cross-sectional study. The responses provided by the free version of the ChatGPT 3.5 were evaluated by three experts in bariatric surgery. Initially, frequently asked postoperative nutrition questions were identified based on input from three experts who consult bariatric patients. This process led to the creation of 27 questions, which were then posed to ChatGPT in Turkish, with responses recorded immediately. For evaluation, responses were categorized as: '1: consistent with the guidelines', '2: consistent but incomplete', '3: consistent but contradictory', and '4: inconsistent'. The responses were assessed by two experts, with a third expert reviewing any disagreements.