Overview

The Data Analytics and AI for Advanced Liver Disease Laboratory is directed by co-principal investigators Vijay Shah, M.D.; Patrick S. Kamath, M.D.; Doug A. Simonetto, M.D.; and Alina M. Allen, M.D., M.S. The lab seeks to develop artificial intelligence (AI) algorithms that can improve the care of patients with liver diseases.

Liver diseases are among the leading causes of global deaths and healthcare costs. Significant unmet needs remain in the early detection of liver diseases and the prediction of outcomes. Patients with liver diseases generate an enormous volume of digital data from various sources, including clinical documents, lab tests, radiological and histopathological images, genome sequencing, and continuous patient monitors. The abundance of information holds great promise to enhance the care of patients with liver diseases. But turning this information into actionable knowledge has remained a major challenge.

Revolutionary breakthroughs in the field of AI, fueled by state-of-the-art machine learning algorithms such as deep learning, have enabled computers to synthesize and analyze large volumes of complex, high-dimensional data with superhuman performances and speed. Digital transformation of healthcare using AI techniques has become one of the pillars of Mayo Clinic's strategy to transform the experiences for patients and healthcare professionals and solve most complex medical challenges.

The lab is working to develop novel AI-assisted tools that can detect disease earlier, more accurately estimate disease severity and prognosis, identify novel risk factors, and automatically interpret histopathology in patients with liver diseases. The lab collaborates with colleagues from a wide variety of disciplines within and outside of Mayo Clinic.