Agentic Artificial Intelligence in Inflammatory Bowel Disease: Toward Autonomous and Adaptive Care
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ID: 319156
2026
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Ranked #33 of 38 articles by views in Crohn s & Colitis 360
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Abstract
Abstract Inflammatory bowel disease (IBD) is a chronic, heterogeneous condition requiring ongoing monitoring and iterative therapeutic adjustment1. Current management remains limited by fragmented data sources and episodic clinical assessment, resulting in reactive decision-making. Although artificial intelligence (AI) has demonstrated promise in IBD, most applications remain task-specific and cross-sectional2, failing to capture the longitudinal nature of disease. Agentic AI offers a shift toward continuous and adaptive care by integrating diverse data streams into an evolving representation of disease state. This enables early detection of change and supports proactive intervention through a closed-loop system linking monitoring, interpretation, and action4. Despite its potential, challenges related to data quality, interpretability, and clinical integration must be addressed for implementation5.
| Reference Key |
openalex_W7166534983
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| Authors | Animesh Acharjee, Daniela Santos |
| Journal | Crohn s & Colitis 360 |
| Year | 2026 |
| DOI |
10.1093/crocol/otag066
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| URL | |
| Keywords | Keywords not found |
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