Evaluation of accuracy and potential harm of ChatGPT in medical nutrition therapy - a case-based approach

Data is collected through ChatGPT for different scenarios. Accuracy and potential to harm the information were tested using the input of a dietician and expert group respectively. The method of selection of respondents was nonprobability purposive sampling while the consensus was built using the Delphi method in case more than one decision maker were involved.