Artificial Intelligence-Based Prediction of Invasion Depth in Colorectal Cancer via Endoscopic Imaging (With Video): A Narrative Review - PubMed
4 hours ago
- #Endoscopic Imaging
- #Colorectal Cancer
- #Artificial Intelligence
- AI-based prediction of colorectal cancer (CRC) invasion depth via endoscopic imaging is crucial for treatment strategy.
- Recent advances include AI models using image-enhanced endoscopy, white-light imaging, and multi-modal data.
- High performance in diagnosing T1b CRC (AUC 0.851) was achieved, comparable to expert endoscopists.
- Challenges include limited sample sizes, dataset imbalance, and heterogeneity preventing pooled analysis.
- Large-scale, multicenter validation studies and open-access databases are essential for clinical implementation.