Inflammatory bowel disease is a complex chronic inflammatory disorder with challenges in diagnosis, choosing appropriate therapy, determining individual responsiveness, and prediction of future disease course to guide appropriate management. Artificial intelligence has been examined in the field of inflammatory bowel disease endoscopy with promising data in different domains of inflammatory bowel disease, including diagnosis, assessment of mucosal activity, and prediction of recurrence and complications. Artificial intelligence use during endoscopy could be a step toward precision medicine in inflammatory bowel disease care pathways. We reviewed available data on use of artificial intelligence for diagnosis of inflammatory bowel disease, grading of severity, prediction of recurrence, and dysplasia detection. We examined the potential role of artificial intelligence enhanced endoscopy in various aspects of inflammatory bowel disease care and future perspectives in this review.
Inflammatory bowel disease has a high prevalence in women of childbearing age and can have a significant impact on pregnancy, from conceiving to carrying the pregnancy. Active disease during pregnancy is known to have negative effects on pregnancy outcomes; therefore, careful monitoring during this period is an important but challenging aspect of care and is crucial as it affects important management decisions. Recent data seems to suggest that endoscopy is a relatively safe procedure during all trimesters of pregnancy. Serum biomarkers such as C-reactive protein and fecal calprotectin are helpful non-invasive markers, but have shown conflicting results for correlation with disease activity in some initial studies. Further work is necessary to establish standard of care monitoring during pregnancy.
Understanding socioeconomic factors could help improve the understanding of outbreak risk. The inclusion of the measles immunization variable suggests that there is a fundamental basis in ensuring adequate public health capacity. Increased vigilance and expanding public health capacity should be prioritized in the projected high-risk regions.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.