Validation of the PAGE-B score as a prognosis of development to hepatocellular carcinoma (HCC) in chronic hepatitis B, in the Brazilian population

Validation of the PAGE-B score as a prognosis of development to hepatocellular carcinoma (HCC) in chronic hepatitis B, in the Brazilian population

This study provides robust real-world evidence validating the PAGE-B score as an effective and practical tool for predicting hepatocellular carcinoma risk among Brazilian patients with chronic hepatitis B receiving long-term antiviral therapy. The higher incidence of HCC observed, particularly among older male patients with thrombocytopenia and advanced fibrosis, underscores the need for region-specific risk stratification strategies. By confirming the discriminatory capacity of PAGE-B in a diverse Brazilian population and highlighting differences related to antiviral therapy, these findings support its incorporation into routine clinical practice to optimize surveillance intensity and improve early HCC detection in high-risk HBV carriers.

Artificial intelligence in colonoscopy: evaluation of adenoma detection rate and performance characterization

Artificial intelligence in colonoscopy: evaluation of adenoma detection rate and performance characterization

Despite the theoretical potential of artificial intelligence to improve early adenoma detection, this study demonstrated that AI-assisted colonoscopy did not increase the adenoma detection rate compared with conventional colonoscopy. With larger training datasets, better real-time image integration, and standardization across platforms, AI is expected to show more reproducible improvements in ADR, including in average-to-high performing centers.