Effects of a Novel AI Mobile App on Symptom Severity in Subjects with Irritable Bowel Syndrome: A Randomized Controlled Trial

• Other Authors: Rafferty, Aaron (Author)
• Format: Dissertation
• Language: English
• Published: 2020
• Subjects: Nutrition; Health sciences; Artificial Intelligence; Diet; FODMAP; Irritable Bowel Syndrome; Randomized Controlled Trial; Software
• Online Access: http://hdl.handle.net/2286/R.I.57197

abstract: Introduction: A diet high in fermented, oligio-, di-, monosaccharide, and polyols (FODMAP) has been shown to exacerbate symptoms of irritable bowel syndrome (IBS). Previous literature has shown significant improvement in IBS symptoms after adherence to a low FODMAP diet (LFD). However, dietary adherence to the LFD is difficult with patients stating that information provided by healthcare providers (HCPs) is generalized and nonspecific requiring them to search for supplementary information to fit their needs. Notably, studies that have used a combination of online and in-person methods for treatment have shown improved adherence to the LFD. Objective: To determine whether a novel artificial intelligence (AI) dietary mobile application will improve adherence to the LFD compared to a standard online dietary intervention (CON) in populations with IBS or IBS-like symptoms over a 4- week period. Methods: Participants were randomized into two groups: APP or CON. The intervention group was provided access to an AI mobile application, a dietary resource verified by registered dietitians which uses artificial intelligence to individualize dietary guidance in real-time with the ability to scan menus and barcodes and provide individuals with food scores based on their dietary preferences. Primary measures included mobile app engagement, dietary adherence, and manifestation of IBS-like symptoms. Baseline Results: A total of 58 participants were randomized to groups. This is an ongoing study and this thesis details the methodology and baseline characteristics of the participants at baseline and intervention start. Validation of the application could improve the range of offerings for lifestyle diseases treatable through dietary modification. === Dissertation/Thesis === Masters Thesis Nutrition 2020