Artificial Intelligence Achieves Near Perfect Performance in Disease Diagnosis

The AI infused method has been created by researchers at Beth Israel Deaconess Medical Centre (BOIDMC) and Harvard Medical School (HMS). The recently developed AI aims at computers to interpret pathology images with the long-term goal being the creation of AI powered systems to make pathological diagnosis more accurate and efficient. The method is based on deep learning, a machine-learning algorithm used for a range of applications including image and speech recognition. The approach essentially teaches machines how to interpret complex patterns and structures observed in real life data by building multi-layer artificial neural networks. This process is believed to show similarities to the learning process occurring in neuron layers within the neocortex of the brain, the region where thinking occurs.