Emotions deteriorate gastrointestinal health: Diagnosing problems through artificial intelligence and psychometric and psycholinguistic techniques

Abstract

BACKGROUND

Psychometric tools can indicate emotions causing gastrointestinal problems while psycholinguistics analysis detects linguistic attitudes. Artificial intelligence (AI) algorithms can assess subtle changes in emotional expression. Therefore, this study was conducted to diagnose early gastrointestinal disorders like inflammatory bowel disease and irritable bowel syndrome. Language attitude, psychometric analysis, and active learning algorithms indicate that emotional expressions are a significant predictor of gastrointestinal health worsening.

AIM

To explore the consequences of emotional expression on gastrointestinal health focusing how psycholinguistics, psychologists, and AI can diagnose gastrointestinal disorders.

METHODS

This observational study used a mixed-method analyzing associations between gastrointestinal health and emotional expression. It explored psychometric assessment, language attitude, and AI-driven DxGPT analysis over the purposive sampling of 250 participants. The study used various scales. DxGPT AI analyzed the medical records and emotional stances. Quantitative data was analyzed using SmartPLS software. The qualitative data on emotional expression was studied through content analysis guided by gut-brain axis and relevance theories. These methodologies flagged at-risk profiles for further clinical assessment.

RESULTS

A significant correlation between emotional expression and gastrointestinal health was observed. The quantitative study indicated that poorer gastrointestinal health on the irritable bowel syndrome quality of life scale and higher emotional expression scores on various scales correlated with emotional patterns found by DxGPT AI driven analysis of medical records and emotional attitudes. The quality of life mediates emotional expression and gastrointestinal health, and resilience and coping moderate relations. The qualitative content analysis highlighted that recurring emotional expression is linked to gastrointestinal issues, and it was consistent with the gut-brain axis theory. The findings also supported the hypothesis that emotional issues predict gastrointestinal deterioration.

CONCLUSION

Our findings may lead to improvement of the psychological well-being of patients with gastrointestinal issues by guiding psychologists, linguists, AI professionals, and gastroenterologists to collaborate more effectively.

Keywords: Emotional expression; Gastrointestinal health; Gut-brain axis; Artificial intelligence; Irritable bowel syndrome

Core Tip: This study explored how emotional expression impacted gastrointestinal health by integrating artificial intelligence (AI), psychometric tools, and psycholinguistic techniques. Using the AI tool, DxGPT, alongside psychological and linguistic assessments, the study identified emotional markers predictive of conditions such as irritable bowel syndrome. By applying a mixed-method approach, the study supported the gut-brain axis framework and introduced a novel AI-enhanced diagnostic model. The findings highlighted the importance of emotion-based screening in early gastrointestinal disorder detection, offering interdisciplinary insights for psychologists, linguists, and gastroenterologists.