AJMC July 26, 2024
Rose McNulty

Artificial intelligence (AI) models have potential to help clinicians assess risk in patients with hepatocellular carcinoma (HCC) to inform disease management, a new study found.

Artificial intelligence (AI)–driven predictive models could help personalize risk stratification for patients with hepatocellular carcinoma (HCC), helping clinicians identify modifiable risk factors and plan interventions to mitigate recurrence, according to a study published in the journal Liver International.1

In HCC that is not metastatic, surgical resection can be curative. Still, at least half of patients who undergo surgery with curative intent are estimated to experience recurrence within 5 years.2 In the new study, researchers aimed to incorporate metabolic risk factors into a model for risk stratification in HCC, as most models published to date have...

Today's Sponsors

LEK
ZeOmega

Today's Sponsor

LEK

 
Topics: AI (Artificial Intelligence), Provider, Technology
Archetype AI’s Newton model learns physics from raw data—without any help from humans
Salesforce CEO Marc Beinoff slams Microsoft Copilot as ‘Clippy 2.0’
Ten Years of AI Venture Capital Deals and Exits
Where Trump & Harris Stand on Payers, AI, Drug Pricing and CMS
Harvard’s super-selective AI track

Share This Article