Artificial intelligence for inflammatory bowel disease dysplasia detection: Current evidence and future directions

Table 1 Key artificial intelligence platforms for inflammatory bowel disease and non-inflammatory bowel disease neoplasia detection

AI platform	Indication	Training dataset	IBD specific training	Sensitivity (%)	Specificity (%)	Population validated
EndoBRAIN-Plus[13]	Colorectal CADe	Approximately 68000 endocytoscopic images	No	98.7	77.1	Japan, Europe
GI genius[14]	Polyp detection	MMX trial videos (150 videos, 338 polyps)	No	82	98	United States
Vinsard IBD-CADe[11]	IBD neoplasia	Approximately 1700 IBD dysplasia images	Yes	95.1	98.8	United States
EfficientNet-B3[9]	IBD neoplasia	862 IBDN images + data augmentation	Yes	72.5	82.9	Japan

Table 1 highlights the key commercial and research artificial intelligence systems listed by indication, data source, whether the model has been specifically trained on inflammatory bowel disease images, and reported performance. Illustrative; heterogeneity limits direct comparisons. AI: Artificial intelligence; IBD: Inflammatory bowel disease; CADe: Computer-aided detection; MMX: Medtronic multi-matrix extraction; IBDN: Inflammatory bowel disease neoplasia.