Artificial Intelligence Assisted Follow Up for Gastrointestinal Disorders and Emotional Well Being

Mariela González

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Resumen


Introduction: Gastrointestinal disorders involve interacting digestive, emotional, sleep, and behavioral factors requiring longitudinal assessment. Objective: To evaluate 12-week feasibility, engagement, and clinical associations of a mobile AI-driven mental health assistant in adults with gastrointestinal disorders. Methods: This prospective comparative study enrolled 186 Venezuelan adults with irritable bowel syndrome, inflammatory bowel disease, functional dyspepsia, or gastroesophageal reflux disease. Participants were assigned to a mobile AI assistant plus standard medical care (n=94) or standard medical care (n=92). The intervention combined conversational support, journaling, and emotional self-reports with required wearable-based monitoring (e.g., smartwatch and smart ring). Both groups underwent assessment of sleep, resting heart rate, nocturnal heart-rate variability, and daily steps. The primary outcome was symptomatic days per week. GAD-7 and PHQ-9 assessed anxiety and depression; adjusted differences included 95% confidence intervals. Results: Participant retention was 91.5% in the intervention group and 85.9% in the standard medical care group, with fewer symptomatic days, reduced anxiety and depression, and 28 additional minutes of sleep nightly. Resting heartrate decreased by 3.6 beats/min and nocturnal RMSSD increased by 5.1 ms relative to comparison; both confidence intervals excluded zero. Daily-step differences were nonsignificant. Daily check-in completion among enrolled participants was 74.8%. Conclusions: The mobile AI intervention was associated with improvements in gastrointestinal symptoms, emotional outcomes, sleep, and autonomic measures.

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Palabras clave


Artificial intelligence; Mental health; Gastrointestinal diseases; Wearable devices.

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Referencias


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DOI: http://dx.doi.org/10.61155/gen.v80i4.846