AI Model Uses Texture Analysis to Detect Kidney Damage in Real-Time Imaging
Scientists have created an artificial intelligence system that can detect subtle tissue damage in kidneys using real-time imaging data. The approach combines texture analysis with machine learning to identify ischemia-reperfusion injury as it develops.
Breakthrough in Kidney Injury Detection
Researchers have developed an artificial intelligence approach that can identify tissue damage in kidneys during real-time imaging procedures, according to a recent study published in Scientific Reports. The system uses random forest machine learning combined with sophisticated texture analysis to detect ischemia-reperfusion injury (IRI), a common complication in kidney surgeries and transplants that can lead to acute kidney failure.