Researchers at AIG Hospital have developed an Artificial Intelligence (AI)-based tool that can detect fatty liver disease with 95-96% accuracy using basic blood tests and body measurements, at a 10% cost of existing technologies.
The innovation, developed in collaboration with the Indian School of Business, Hyderabad, uses four widely available blood parameters, complete blood count, liver function test, HbA1c, and lipid profile combined with BMI and waist circumference data. The tool is designed to predict both steatosis (fat accumulation) and fibrosis (hardening of the liver), traditionally detected using expensive machines like FibroScan, which costs over ₹1.2 crore.
