Texas A&M Architecture For Health Stroke and the Built Environment: Supporting and Promoting Patients' Activity during Rehabilitation by Maja Kavdzija Season 2024 Episode 18 | 46m 7s | CC ...

Methods from optogenetics and machine learning should help improve treatment options for stroke patients. Researchers have now developed a computer vision technique to analyze the changes in motor ...

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 ...

Today at the Society of NeuroInterventional Surgery's (SNIS) 20th Annual Meeting, researchers discussed a smartphone app created that reliably recognizes patients' physical signs of stroke with ...

Participants will wear a new groundbreaking "smart glove" capable of tracking their hand and finger movements during rehabilitation exercises supervised by Dr. Janice Eng, a leading stroke ...

Stroke risk prediction tools are meant to guide how doctors approach a potentially deadly condition. But a new analysis finds several work less well for Black patients.

When a stroke patient arrives at the ER, every minute counts. Viz.ai uses artificial intelligence to treat patients earlier.

The FDA is approving artificial-intelligence software to help diagnose diseases and help treat patients.