Evaluating ChatGPT-5o as a Clinical Decision-Support Tool in Inflammatory Bowel Disease: A Pilot Study of Guideline Adherence and Clinical Agreement

Background: Inflammatory bowel disease (IBD) presents complex management challenges. While care is guided by expertise and guidelines, artificial intelligence (AI) is being explored as an adjunct. This study evaluates ChatGPT-5o’s ability to provide IBD recommendations by comparing its outputs with real-world decisions and European Crohn’s and Colitis Organisation (ECCO) guidelines. Methods: We performed a retrospective analysis of 19 anonymized IBD cases spanning initial and complicated disease. ChatGPT-5o generated management recommendations, which were compared with clinician treatments and ECCO guidelines across seven therapeutic domains (5-aminosalicylic acid (5-ASA), steroids, antibiotics, thiopurines, anti-tumor necrosis factor (TNF), anti-integrins, anti-interleukin-23 (IL-23)) plus diagnostic workup, symptom management, surgical consultation, and monitoring. Agreement was quantified using Cohen’s Kappa. Results: ChatGPT-5o showed perfect agreement (κ = 1.000) with providers and/or guidelines for antibiotics, diagnostic workup, symptom management, surgical consultation, monitoring, and anti-IL-23. Substantial agreement (κ ≈ 0.6 - 0.8) was observed for 5-ASA and steroids. Moderate to fair agreement (κ ≈ 0.3 - 0.5) occurred for anti-TNF and anti-integrins, reflecting variability in complex scenarios. Thiopurines demonstrated the lowest concordance, with none-to-slight agreement in human-AI comparisons but higher alignment of ChatGPT-5o with ECCO, suggesting evolving practice patterns and safety considerations. Conclusions: ChatGPT-5o closely aligns with clinicians and ECCO guidelines in multiple standardized domains, supporting its potential as a decision-support tool to enhance guideline adherence and broaden access to IBD expertise. Variability in biologic selection and thiopurine use underscores the need for expert oversight and patient-specific judgment. Prospective studies should assess longitudinal outcomes and integration strategies to ensure safe, patient-centered deployment.

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Journal
AI in Clinical Medicine
Published
2025-12-01
DOI
https://doi.org/10.14740/aicm12
Primary Topic
Inflammatory Bowel Disease
Type
article
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article

Evaluating ChatGPT-5o as a Clinical Decision-Support Tool in Inflammatory Bowel Disease: A Pilot Study of Guideline Adherence and Clinical Agreement

H. Manzano-Cortés, Alejandro Cendejas-Higuera, Mónica R. Reyes-Bastidas, Eric Acosta-Marquez et al.
AI in Clinical Medicine
Inflammatory Bowel Disease
article

Evaluating ChatGPT-5o as a Clinical Decision-Support Tool in Inflammatory Bowel Disease: A Pilot Study of Guideline Adherence and Clinical Agreement

H. Manzano-Cortés, Alejandro Cendejas-Higuera, Mónica R. Reyes-Bastidas, Eric Acosta-Marquez, Luis A. Hernandez-Flores, Daniel Aillaud-De-Uriarte
article en

Abstract

Background: Inflammatory bowel disease (IBD) presents complex management challenges. While care is guided by expertise and guidelines, artificial intelligence (AI) is being explored as an adjunct. This study evaluates ChatGPT-5o’s ability to provide IBD recommendations by comparing its outputs with real-world decisions and European Crohn’s and Colitis Organisation (ECCO) guidelines. Methods: We performed a retrospective analysis of 19 anonymized IBD cases spanning initial and complicated disease. ChatGPT-5o generated management recommendations, which were compared with clinician treatments and ECCO guidelines across seven therapeutic domains (5-aminosalicylic acid (5-ASA), steroids, antibiotics, thiopurines, anti-tumor necrosis factor (TNF), anti-integrins, anti-interleukin-23 (IL-23)) plus diagnostic workup, symptom management, surgical consultation, and monitoring. Agreement was quantified using Cohen’s Kappa. Results: ChatGPT-5o showed perfect agreement (κ = 1.000) with providers and/or guidelines for antibiotics, diagnostic workup, symptom management, surgical consultation, monitoring, and anti-IL-23. Substantial agreement (κ ≈ 0.6 - 0.8) was observed for 5-ASA and steroids. Moderate to fair agreement (κ ≈ 0.3 - 0.5) occurred for anti-TNF and anti-integrins, reflecting variability in complex scenarios. Thiopurines demonstrated the lowest concordance, with none-to-slight agreement in human-AI comparisons but higher alignment of ChatGPT-5o with ECCO, suggesting evolving practice patterns and safety considerations. Conclusions: ChatGPT-5o closely aligns with clinicians and ECCO guidelines in multiple standardized domains, supporting its potential as a decision-support tool to enhance guideline adherence and broaden access to IBD expertise. Variability in biologic selection and thiopurine use underscores the need for expert oversight and patient-specific judgment. Prospective studies should assess longitudinal outcomes and integration strategies to ensure safe, patient-centered deployment.

AI in Clinical MedicineVol. 1
Harvard University (US), Methodist Hospital (US), Universidad Anáhuac Puebla (MX), Universidad Ateneo de Monterrey (MX), University of Monterrey (MX)
Peace, Justice and strong institutions
Openalex Percentile: Top 22%
Inflammatory Bowel Disease
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