Artificial Intelligence and IBD: Where are We Now and Where Will We Be in the Future?

PURPOSE OF REVIEW: Artificial intelligence (AI) is quickly demonstrating the ability to address problems and challenges in the care of IBD. This review with commentary will highlight today's advancements in AI applications for IBD in image analysis, understanding text, and replicating clinical knowledge and experience. RECENT FINDINGS: Advancements in machine learning methods, availability of high-performance computing, and increasing digitization of medical data are providing opportunities for AI to assist in IBD care. Multiple groups have demonstrated the ability of AI to replicate expert endoscopic scoring in IBD, with expansion into automated capsule endoscopy, enterography, and histologic interpretations. Further, AI image analysis is being used to develop new endoscopic scoring with more granularity and detail than is possible using conventional methods. Advancements in natural language processing are proving to reduce laborious tasks required in the care of IBD, including documentation, information searches, and chart review. Finally, large language models and chatbots that can understand language and generate human-like replies are beginning to exhibit clinical intelligence that will revolutionize how we deliver IBD care. Today, AI is being deployed to replicate expert judgement in specific tasks where disagreement, subjectivity, and bias are common. However, the near future will herald contributions of AI doing what we cannot, including new detailed measures of IBD, enhanced analysis of images, and perhaps even fully automating care. As we speculate on future technologic capabilities that may improve how we care for IBD, this review will also consider how we will implement and fairly use AI in practice.

COVID-19 Pandemic Increased Anxiety Among Patients with Inflammatory Bowel Disease: A Patient Survey in a Tertiary Referral Center.

BACKGROUND: COVID-19 is the first global pandemic in more than 100 years, and at its onset, the effects were largely unknown. Immunocompromised patients, including IBD, were presumed to have higher risk. AIMS: We hypothesized patients with IBD would have higher-than-baseline anxiety, high perceived vulnerability and significant lifestyle impacts as a result of the pandemic. We sought to assess the impact of these changes on disease and management. METHODS: A cross-sectional study of patients with Crohn's disease, ulcerative colitis and IBD-unspecified was conducted. Patients were invited to participate by email in an IRB-approved brief, voluntary survey. Survey questions focused on disease characteristics, healthcare access and self-reported psychological well-being. RESULTS: Responses from 492 (CD = 337, UC = 141,IC = 14) patients were included in the analysis. The majority of patients with IBD had increased anxiety since the pandemic, which correlated with an increase in GI symptoms. This risk of symptoms was mitigated by communication with their provider. Many patients had lifestyle changes including requesting time off work due to perceived vulnerability and changes in eating habits. CONCLUSIONS: Our findings support an increase in illness-associated anxiety and perceived vulnerability among patients with IBD during the COVID-19 pandemic. Open communication with providers is important to maintain adequate control of disease and reduce symptoms of flares triggered by ongoing stress.