Expanding the role of radiomics and artificial intelligence in the management of inflammatory bowel disease: Insights, opportunities, and challenges
Year: 2025
Type: editorial
Abstract: Inflammatory bowel disease (IBD), encompassing Crohn's disease and ulcerative colitis, remains a chronic management challenge despite the success of biological therapies such as infliximab. A major limitation is secondary loss of response, which affects a substantial proportion of patients and complicates long-term treatment strategies. Emerging technologies such as radiomics, which converts medical images into quantitative features, and artificial intelligence (AI), which integrates complex multimodal data, offer new opportunities to predict treatment response, monitor disease activity, and personalize therapy. By combining imaging-derived radiomic features with clinical and laboratory information, AI-driven models can provide early, actionable insights to guide therapeutic decisions. This editorial discusses the promise and limitations of these approaches, emphasizing how they can be integrated into clinical decision-making pathways. While challenges in standardization, validation, and clinician adoption remain, radiomics and AI represent important steps toward precision medicine, with the potential to improve outcomes and optimize care for patients with IBD.
Authors: Zhi-Gang Liu, Shan-Shan Xie
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4416156245