AI Medical Compendium Journal:
JHEP reports : innovation in hepatology

Showing 1 to 5 of 5 articles

Deep learning empowered gadolinium-free contrast-enhanced abbreviated MRI for diagnosing hepatocellular carcinoma.

JHEP reports : innovation in hepatology
BACKGROUND & AIMS: By reducing some magnetic resonance imaging (MRI) sequences, abbreviated MRI (aMRI) has shown extensive promise for detecting hepatocellular carcinoma (HCC). We aim to develop deep learning (DL)-based gadolinium-free contrast-enhan...

AI-Cirrhosis-ECG (ACE) score for predicting decompensation and liver outcomes.

JHEP reports : innovation in hepatology
BACKGROUND & AIMS: Accurate prediction of disease severity and prognosis are challenging in patients with cirrhosis. We evaluated whether the deep learning-based AI-Cirrhosis-ECG (ACE) score could detect hepatic decompensation and predict clinical ou...

Liver fibrosis progression analyzed with AI predicts renal decline.

JHEP reports : innovation in hepatology
BACKGROUND & AIMS: The relationship between biopsy-proven liver fibrosis progression and renal function decline in patients with metabolic dysfunction-associated steatotic liver disease (MASLD) has not been fully elucidated. We used an automated quan...

Whole blood RNA sequencing identifies transcriptional differences between primary sclerosing cholangitis and ulcerative colitis.

JHEP reports : innovation in hepatology
BACKGROUND & AIMS: Genetic and microbiome studies across patients with primary sclerosing cholangitis (PSC) and ulcerative colitis (UC) have indicated that UC in PSC is a separate disease entity to primary UC, but expression studies for PSC are lacki...

Long-term major adverse liver outcomes in 1,260 patients with non-cirrhotic NAFLD.

JHEP reports : innovation in hepatology
BACKGROUND & AIMS: Long-term studies of the prognosis of NAFLD are scarce. Here, we investigated the risk of major adverse liver outcomes (MALO) in a large cohort of patients with NAFLD.