Artificial intelligence in the management of inflammatory bowel disease: What’s next?

Figure 1 Limitations of traditional management of inflammatory bowel disease and potential improvements with the use of artificial intelligence. Figure created with BioRender.com (https://BioRender.com/29up61d). The traditional management of inflammatory bowel disease relies on endoscopy, non-invasive imaging, and histology, interpreted by clinicians with variable experience in inflammatory bowel disease, who then make treatment decisions based upon these results and clinical symptoms. This often leads to a one size fits all approach. In an artificial intelligence-assisted model, clinicians are assisted by artificial intelligence, which may improve analysis in endoscopy, non-invasive imaging, and histology. With these results, clinicians may then use prediction models to determine the best therapeutic regiment tailored to the patient’s unique disease phenotype. AI: Artificial intelligence; CNN: Convolutional neural networks; ML: Machine learning.