Development of a protocol for conducting a randomized control trial on effects of artificial intelligence on nutritional status of children post cardiac surgery Authors Maryam Zahid Al Shifa Trust Eye Hospital, School of Public Health, Rawalpindi, Pakistan Ume Sughra Al Shifa Trust Eye Hospital, School of Public Health, Rawalpindi, Pakistan DOI: https://doi.org/10.47391/JPMA.3751 Abstract Objectives: To assess the effect of diet-related mobile application based on artificial intelligence on the nutritional status of children post-cardiac surgery, and to compare their diet-related problems with their counterparts having the usual diet. Method: The two-arm double-blind randomised controlled trial will be conducted at a tertiary care hospital in Rawalpindi, Pakistan, over an expected duration of 6 months from March to August 2021. Intervention group A will be given a diet-related mobile application based on artificial intelligence, while usual-care group B will be handed a pamphlet with instructions related to post-operative diet on discharge. Results: The findings will improve perception about the influence of artificial intelligence on nutritional status of children post-cardiac surgery. If proven to be effective, this mobile application can be used in other hospitals. Conclusion: The study protocol will give an indication that whether diet-related mobile application can contribute to improving the nutritional status of children post-cardiac surgery. As the pandemic has forced people to minimise hospital visits, this is the right time to evaluate the utility of such an application. Key Words: Artificial intelligence, Diet-related mobile application, Nutritional status, Children post-cardiac surgery, Randomised controlled trial. Downloads Full Text Article Published 2022-05-10 How to Cite Zahid, M., & Ume Sughra. (2022). Development of a protocol for conducting a randomized control trial on effects of artificial intelligence on nutritional status of children post cardiac surgery. Journal of the Pakistan Medical Association, 72(5), 908–911. https://doi.org/10.47391/JPMA.3751 More Citation Formats ACM ACS APA ABNT Chicago Harvard IEEE MLA Turabian Vancouver Download Citation Endnote/Zotero/Mendeley (RIS) BibTeX Issue Vol. 72 No. 5 (2022): MAY Section RESEARCH ARTICLE