Masterclass: Advanced GI Endoscopic Imaging (Live/Virtual) | December 2025-Parsa

Parsa - AI in Inflammatory Bowel Disease

Pdf Summary

This presentation by Dr. Nasim Parsa discusses the role of artificial intelligence (AI) in improving assessment and treatment of Inflammatory Bowel Disease (IBD). Current clinical tools like the Mayo Endoscopic Score (MES) and related indices show subjective variability and limited accuracy, leading to inconsistent disease assessment and treatment efficacy, which has plateaued at about 30-50%. Moreover, IBD incidence has increased globally by 50% over the past 30 years, amplifying demand for better solutions.<br /><br />Traditional endoscopic scoring systems rely on subjective features such as erythema and friability, which are inconsistently defined and affect treatment decisions. AI-driven deep neural networks (DNUC) trained on tens of thousands of colonoscopy images and biopsies can predict endoscopic remission with over 90% accuracy and even forecast histological remission without requiring biopsy. Similarly, the Red Density algorithm quantifies mucosal redness and vascular patterns, strongly correlating with histological inflammation scores, offering a more objective, continuous measure than categorical scoring.<br /><br />In addition to endoscopy, Intestinal Ultrasound (IUS) has gained traction for real-time, non-invasive disease activity assessment, providing high accuracy comparable or superior to endoscopy without sedation or radiation. However, IUS adoption is limited by lack of trained experts and procedural complexity. AI-assisted software can overcome these barriers by providing real-time anatomical guidance, automated measurements (e.g., bowel wall thickness, flow), and simplifying interpretation, effectively putting “an expert on your shoulder.”<br /><br />In conclusion, AI enhances IBD management by reducing subjective variability in disease activity scoring and expanding access to advanced diagnostic tools like IUS. While AI will not replace clinicians, it will elevate those who integrate these technologies into their practice, potentially transforming patient care by providing precise, rapid, and scalable disease assessment.

Keywords

Artificial Intelligence

Inflammatory Bowel Disease

IBD Assessment

Mayo Endoscopic Score

Deep Neural Networks

Endoscopic Remission Prediction

Red Density Algorithm

Intestinal Ultrasound

AI-assisted Diagnostics

Disease Activity Scoring