Machine learning model classifies lung cancer slides in under a minute

Researchers have developed a machine learning model that can classify different types of lung cancer in less than a minute. The model could be used to assist doctors in determining tumour patterns and subtypes, which is an important part of prognosis and so determining the appropriate treatment. The Dartmouth-Hitchcock Medical Center researchers say the machine learning model can perform on par with three practicing pathologists. Machine learning, a subset of AI, is a type of algorithm that trains itself to predict outcomes and learn from successes and failures. In this model, the researchers used unsupervised machine learning, which means the model automatically trawls through millions of training data to identify subtle correlations and so teach itself.