1,593
Patients
138 biopsy + 1,455 paired TE — largest prospective POC-TE validation.
0.97
AUROC
Cirrhosis (F4) detection — near-perfect classifier.
0.92
AUROC
Steatosis screening (≥S1) — excellent screening tool.
0.86
Pearson r
Fibrosis correlation vs. FibroScan® — high consistency with gold standard.
0.80
Pearson r
MAP vs. CAP® correlation (vs. FibroScan®) — strong agreement with established attenuation parameter.
4
Measurements
Non-inferior to standard 10 — exam time reduced from ~5-10 min to ~1 min.
4
AI models
ConvNeXt V2, Transformer-Hough, YOLOv8, BiSeNet V2 — purpose-built deep learning.
Citation: Huang Z-H, Ye C-H, Wu C-L, Li W-R, Deng M-Q, Lian L-Y, Huang C-X, Wei Y-X, Cao Y-Y, Shen X-N, Lin Y-W, Chen S-D, Seto W-K, Zheng Y-P, Zheng M-H. (2026). Identification of Hepatic Fibrosis and Steatosis via A Point-of-Care Transient Elastography System With Integrated AI. Liver International, 46(5), e70634. DOI: 10.1111/liv.70634
Wenzhou Medical University · Prof. Ming-Hua Zheng | University of Hong Kong / Queen Mary Hospital · Wai-Kay Seto