Now, a new machine learning model that can classify types of lung cancer

Washington, Mar 4: Scientists say they have developed a novel machine learning model to classify different types of lung cancer, and found that it performed on par with three practicing pathologists. Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning has improved dramatically in recent years and shown great promise in the field of medical image analysis, said researchers from Dartmouth–Hitchcock Medical Center (DHMC) in the US. They utilised machine learning capabilities to assist with the challenging task of grading tumour patterns and subtypes of lung adenocarcinoma, the most common form of the leading cause of cancer-related deaths worldwide. Currently, lung adenocarcinoma, requires pathologist's visual examination of lobectomy slides to determine the tumour patterns and subtypes, according to the study published in the journal Scientific Reports.