The Effect of Artificial Intelligence Supported Mobile Learning on Nutrition/Hydration Control and Individual Management

The adherence to recommended nutrition and fluid restrictions is crucial for the success of hemodialysis treatment. However, approximately 80% of patients receiving HD treatment are non-compliant with fluid restriction, leading to various complications. Cardiovascular complications are among the most common complications associated with this issue. When reviewing national and international literature on the subject, it is observed that in order to improve treatment adherence in HD patients, written materials are often used in addition to individual or group education sessions, focusing mainly on assessing patients\\' quality of life and self-efficacy. However, a mobile-supported learning method that enables patients to manage their nutrition and fluid control individually is not commonly utilized. This research aims to investigate the impact of an artificial intelligence-supported mobile application developed for HD patients on the control of nutrition/fluid intake and individual management.