Researchers have rebuilt the bridge between experimental neuroscience and artificial intelligence learning algorithms.
Social media captures demographic data on physical activity by using Twitter and artificial intelligence (AI), a new study shows.
A computer's ability to predict a patient's lifespan simply by looking at images of their organs is a step closer to becoming a reality, thanks to new research led by the University of Adelaide.
Researchers from the Byers Eye Institute at Stanford University have found a way to use artificial intelligence to fight a complication of diabetes that affects the eyes. This advance has the potential to reduce the worldwide rate of vision loss due to diabetes.
Alzheimer's disease, which currently affects more than 40 million people, is the most common neurodegenerative disease in elder people.
Before performing radiation therapy, radiation oncologists first carefully review medical images of a patient to identify the gross tumor volume -- the observable portion of the disease. They then design patient-specific clinical target volumes that include surrounding tissues, since these regions can hide cancerous cells and provide pathways for metastasis.
A team of investigators from the Massachusetts General Hospital Department of Radiology has developed a system using artificial intelligence to quickly diagnose and classify brain hemorrhages and to provide the basis of its decisions from relatively small image datasets.
University of Helsinki researchers have developed artificial intelligence software, which can evaluate the maturity of a preterm infant's brain directly from an EEG.