Image Recognition
The processing of blood samples is set to become more efficient and accurate, after a Queensland pathology laboratory implemented an AI-powered microscope that uses pattern matching and image recognition to detect disease faster than human pathologists can. The microscope takes high-resolution images of each prepared slide, then uses AI algorithms to compare the features in the image to known images with which it has been trained by a human pathologist. “People require experience and training to analyse images,” explained Dr Shakes Chandra, a senior lecturer with the University of Queensland School of Electrical Engineering and Computer Science. ”AI speeds this up and allows us to process the data faster. Then, we can not only process the data but train the data to enable us to do more than we ever thought possible.”