A major review details how AI supports radiological and multimodal integration in inflammatory bowel disease (IBD) management, highlighting current applications and future challenges.
Key Details
- 1AI is being used to interpret CT enterography, MR enterography, and intestinal ultrasound for inflammation, fibrosis, and strictures in IBD.
- 2Deep learning models support endoscopic and histologic analysis, providing more objective disease scoring and dysplasia detection.
- 3AI tools enable multimodal integration, combining imaging, biomarker, and clinical data for precision medicine in IBD.
- 4Remote monitoring, digital health, and natural language processing are also reviewed as future directions in IBD management.
- 5Barriers to clinical adoption include need for multicenter validation, model transparency, standardized datasets, and ethical consideration.
Why It Matters
AI's integration of imaging and other clinical data can lead to more objective, personalized IBD care. Overcoming validation and ethical challenges will be crucial before routine adoption in practice, representing significant opportunities for radiology and AI professionals.
Source
EurekAlert
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