Detection of liver cancer by AI analysis of ultrasound Doppler waves
A novel method to detect hepatocellular carcinoma via ultrasound examination and AI analysis of the portal vein.
Applications
- Liver cancer screening
Technology Overview
Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related death worldwide. Typically, screening for HCC requires a skilled operator to perform a standard image-based scan of the entire liver using a commercially available transducer. Researchers at the University of Minnesota have developed a novel approach to examine the liver using a sound-based scan from the same commercially available transducer. Focusing specifically on the portal vein, with the help of artificial intelligence, this method simplifies the screening process, making it faster, accurate, and more accessible to healthcare workers with minimal training.
Phase of Development
TRL: 3-4Model has been developed and tested on an initial cohort, working now to validate against a larger cohort.
Desired Partnerships
This technology is now available for:- License
- Sponsored research
- Co-development
Please contact our office to become a partner in the next phase of testing, or share your clinical needs and learn more.
Researchers
- Jose Debes, MD, PhD, MS Associate Professor of Medicine, Division of Infectious Diseases and International Medicine
- Ju Sun, PhD Assistant Professor, Department of Computer Science & Engineering