The autoSCORE application was developed in Norway by Holberg EEG using a deep-learning model and trained on the world’s largest dataset of more than 30,000 expertly labeled EEG recordings. The development and validation of the model have been carefully designed to avoid typical errors and sources of bias, and the output is focused on aspects key to the interpretation of clinical EEGs [1].

“The development of the world’s first AI model capable of reading clinical EEGs at the level of the best experts in the world is a significant accomplishment,” says Harald Aurlien, co-founder of Holberg EEG and a consultant in clinical neurophysiology at Haukeland University Hospital. “The partnership and distribution agreement with Natus, one of the world’s largest EEG companies, will help bring this innovative solution to customers around the world.”