"Improving stroke treatment through machine learning." ScienceDaily. www.sciencedaily.com / releases / 2018 / 01 / 180116123820.htm (accessed May 25, 2025). Explore More ...

But rehabilitation ... medicine: a machine-learning system that can identify neuronal network patterns to make high-accuracy predictions on the outcome of recovery for stroke patients.

Texas A&M Architecture ... might affect, patients with stroke experience. Their environments. And I think that it is important to start, by introducing the specificities of rehabilitation system ...

A sensor-equipped computer program was nearly 80% effective in identifying and counting arm movements in patients undergoing stroke rehabilitation, researchers from NYU Grossman School of Medicine ...

Wearable technology aided by artificial intelligence can warn and prevent falls for patients recovering from stroke and spinal injuries ... with artificial intelligence and machine learning, to ...

Victoria University of Wellington has designed a transportable MRI machine to speed up the diagnosis and treatment of stroke patients ... the Schools of Design and Architecture, who were tasked ...