A new deep learning approach can automatically analyze and score sleep tests as effectively as sleep technologists, according to researchers from Georgia Tech’s School of Computational Science and Engineering (CSE) and the Neurology Department of Massachusetts General Hospital (MGH).

The breakthrough – outlined in a paper published in the December 2018 issue of the Journal of American Medical Informatics Association – will enable greater access to critically needed diagnostic testing for the 40 million people in the United States who suffer from chronic long-term sleep disorders.

link to full Georgia Tech release on study co-authored by MGH investigators Brandon Westover and Matt Bianchi.