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Role of artificial intelligence in Crohn's disease intestinal strictures and fibrosis
Yi Fei Chen1, Liu Liu1, Bin Lyu1
1Department of Gastroenterology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou, Zhejiang Province, China.
Insights
Artificial intelligence (AI) aids in detecting intestinal fibrosis and stricture in Crohn's disease (CD). AI offers accurate and fast identification and prediction, improving upon manual methods for this common complication.
Area of Science:
- Gastroenterology and Artificial Intelligence
- Medical Imaging and Diagnostics
- Inflammatory Bowel Disease Research
Background:
- Crohn's disease (CD) is a chronic gastrointestinal inflammatory disorder.
- Intestinal fibrosis and stricture are frequent, recurring complications of CD.
- Manual assessment of fibrosis/stricture can be subjective and time-consuming.
Purpose of the Study:
- To review the application of artificial intelligence (AI) in diagnosing intestinal fibrosis and stricture in Crohn's disease.
- To categorize AI diagnostic approaches based on detection modalities.
- To evaluate AI's efficacy in identifying and predicting these CD complications.
Main Methods:
- Systematic review of studies published in the last decade on AI for CD intestinal fibrosis/stricture.
- Categorization of AI applications by detection method: endoscopy, imaging, and biomarkers.
- Analysis of AI's performance in accuracy and speed of diagnosis.
Main Results:
- AI techniques demonstrate significant potential in detecting intestinal fibrosis and stricture in CD patients.
- AI applications span various diagnostic modalities, including endoscopy and medical imaging.
- Studies show AI facilitates more accurate and expedited identification and prediction of fibrotic complications.
Conclusions:
- Artificial intelligence offers a promising tool for improving the diagnosis of intestinal fibrosis and stricture in Crohn's disease.
- AI-driven approaches can overcome limitations of manual examination, enhancing diagnostic efficiency and accuracy.
- Further integration of AI in clinical practice may lead to better patient management and outcomes in CD.
Abstract:
Crohn's disease (CD) is a chronic inflammatory disorder of the gastrointestinal tract. Intestinal fibrosis or stricture is one of the most prevalent complications in CD with a high recurrence rate. Manual examination of intestinal fibrosis or stricture by physicians may be biased or inefficient. A rapid development of artificial intelligence (AI) technique in recent years facilitates the detection of existing or possible intestinal fibrosis and stricture in CD through various modalities, including endoscopy, imaging examination, and serological biomarkers. We reviewed the articles on AI application in diagnosing intestinal fibrosis and stricture in CD during the past decade and categorized them into three aspects based on the detection methods, and found that AI helps accurate and expedient identification and prediction of intestinal fibrosis and stenosis in CD.
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