United States, 7th Aug 2024 - In the realm of healthcare, precision is everything. The accuracy of Hierarchical Condition Category (HCC) risk scores plays a pivotal role in the financial health of ...

Please provide your email address to receive an email when new articles are posted on . A higher HALT-HCC score correlated with increased dropout and decreased posttransplant survival at 5 years.

A machine learning (ML) model using standard laboratory values and clinical data can help predict hepatocellular carcinoma (HCC) risk in patients with metabolic dysfunction-associated steatotic liver ...

A new risk score for HCC risk in non-viral hepatitis or cirrhosis patients improves detection by 22.9%. The model uses FIB-4, age, sex, race, BMI, diabetes, smoking, and alcohol use for risk ...

A team of UC Davis Health clinicians and data scientists has developed a machine-learning model to better predict which patients are at greater risk of developing a common type of liver cancer, ...

A reliable HCC prediction model is essential for meeting the 2030 hepatitis elimination targets; however, existing risk scores have been derived from patients with active chronic hepatitis B infection ...

Amit Singal, MD, medical director of the UT Southwestern Medical Center Liver Tumor Program, discusses populations at the highest risk of hepatocellular carcinoma (HCC), when screening is needed, and ...

The Alliance of Community Health Plans is calling out risk adjustment scores by larger insurers in Medicare Advantage plans. ACHP, an organization that advocates for smaller health plans, said the ...