Generative AI for pre-consultation mental health triage in disorders of gut-brain interaction - Report - MDSpire

Generative AI for pre-consultation mental health triage in disorders of gut-brain interaction

  • By

  • Dakai Zeng

  • He Zeng

  • Jie Song

  • Kai Zhu

  • June 16, 2026

  • 0 min

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Clinical Report: Utilizing Generative AI for Initial Mental Health Assessment

Overview

Generative AI (GenAI) can enhance the initial assessment of disorders of gut-brain interaction (DGBI) by streamlining pre-consultation triage. This approach aims to integrate patient histories and psychosocial factors to improve the efficiency and effectiveness of gastroenterology consultations.

Background

Disorders of gut-brain interaction (DGBI) are prevalent and often associated with significant mental health challenges, including anxiety and depression. The complexity of these disorders necessitates a comprehensive assessment that considers both physical and psychological factors. Current clinical practices often lead to delayed recognition of mental health needs, highlighting the potential for GenAI to facilitate earlier and more informed interventions.

Data Highlights

No numerical data provided in the source material.

Key Findings

  • GenAI can assist in organizing patient symptom narratives and psychosocial contexts for better triage.
  • Effective triage in DGBI requires a nuanced understanding of both medical and psychological factors.
  • Five essential conditions for GenAI systems include defined tasks, proportionate data collection, escalation rules, clinician oversight, and prospective evaluation.
  • Early integration of behavioral care is emphasized in recent guidelines for DGBI management.
  • Meta-analyses indicate that internet-based self-help programs can effectively reduce symptoms of DGBI.

Clinical Implications

Clinicians should consider implementing GenAI tools to enhance the initial assessment process for patients with DGBI. By facilitating a more thorough understanding of patients' histories and psychosocial factors, these tools can lead to more effective management plans and timely referrals for psychological support.

Conclusion

The integration of GenAI in the pre-consultation phase for DGBI presents a promising opportunity to improve patient care. By ensuring that these systems are carefully supervised and contextually aware, healthcare providers can enhance the efficiency and effectiveness of gastroenterology consultations.

Related Resources & Content

  1. Frontiers in Digital Health, 2026 -- Advances in generative artificial intelligence for mental health
  2. Frontiers in Psychiatry, 2026 -- Generative AI as interactional infrastructure for meaning-centered care in later life
  3. conexiant -- What Patients Aren’t Telling You: AI in Mental Health Care
  4. Rome V: A Global Framework for Disorders of Gut–Brain Interaction | The Rome Foundation
  5. Efficacy of Internet-Based Self-Help Interventions for Irritable Bowel Syndrome: Systematic Review and Meta-Analysis of Randomized Controlled Trials - PubMed
  6. BMC Psychiatry (Springer) — Evaluating a Multilingual AI Simulator for Training in Suicide Risk Assessment: Impact on Young Psychiatrists' Self-Efficacy in a Pilot Study Across Twenty Languages
  7. Rome V: A Global Framework for Disorders of Gut–Brain Interaction | The Rome Foundation
  8. Efficacy of Internet-Based Self-Help Interventions for Irritable Bowel Syndrome: Systematic Review and Meta-Analysis of Randomized Controlled Trials - PubMed
  9. Efficacy of a Conversational AI Agent for Psychiatric Symptoms and Digital Therapeutic Alliance: A Randomized Clinical Trial - PMC

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