3D face photos could be a sleep apnea screening tool
Using 3D imaging and artificial intelligence, researchers discovered the shortest distance between two points on the curved surface of the face predicted, with 89% accuracy, which patients had sleep apnea.
Combining brain imaging data with machine learning, researchers make new discoveries about how the brain controls the hand. The findings could lead to the development of more advanced neuroprosthetics. from Neuroscience News https://ift.tt/3tv7BbC
Comments
Post a Comment