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AI advice matches physician recommendations in early-stage liver cancer, but falls short in late stage
Large language models (LLM) can generate treatment recommendations for straightforward cases of hepatocellular carcinoma (HCC) that align with clinical guidelines but fall short in more complex cases, ...
AI-powered imaging is enhancing liver cancer treatment by helping physicians better predict Y90 radioembolization delivery ...
Dr. Jason Chiang and Dr. Kyung Sung of the department of radiological sciences at the David Geffen School of Medicine at UCLA and the UCLA Health Jonsson Comprehensive Cancer Center have received a $3 ...
ASCO 2026 features promising research on hepatobiliary cancers, like new approaches to drugging the Wnt/beta-catenin pathway ...
A graphical overview of the study evaluating the clinical utility of large language models (LLMs) for hepatocellular carcinoma treatment. The study analyzed 13,614 patients to compare real-world ...
A new update from the American Gastroenterological Association (AGA) urges stronger prevention efforts and better early-detection tools for hepatocellular carcinoma (HCC), the leading cause of ...
Recent advances in CT, MRI, ultrasound, and AI are transforming liver disease diagnosis, enabling earlier, more accurate, and less invasive detection of conditions like fibrosis, steatosis, and ...
Adding an immunotherapy-based regimen to standard treatment may improve outcomes for some patients with liver cancer who are ...
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