AI RESEARCH
Weakly Supervised Multicenter Nancy Index Scoring in Ulcerative Colitis Using Foundation Models
arXiv CS.CV
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ArXi:2604.23706v1 Announce Type: new Histologic assessment of ulcerative colitis (UC) activity is an important endpoint in clinical trials and routine care, but manual grading with indices such as the Nancy histological index (NHI) is time-consuming and prone to observer variability. While computational pathology methods can automate scoring, many approaches depend on dense region-level annotations, which are costly to obtain, particularly in heterogeneous, multicenter cohorts.