MIT CSAIL researchers developed wall-mounted monitor that uses artificial intelligence to detect early signs of Alzheimer’s disease

Briefing

MIT CSAIL researchers developed wall-mounted monitor that uses artificial intelligence to detect early signs of Alzheimer’s disease

March 27, 2018

Briefing
  • AI Monitor – MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) researchers developed wall-mounted monitor that uses artificial intelligence to detect early signs of Alzheimer’s, years before memory loss and confusion
  • Detection Process – Uses low-power, wireless signals to record user movement, gait speed, and sleep and breathing routines, then sends data to cloud, where machine learning algorithms analyze correlated patterns and identify potential risks, instead of relying on future behavioral changes due to early stages of disease
  • Medical Assistance – Researchers looking into installing monitor in medical facilities or homes to help detect potential signs of disease, as well as help doctors adjust patients' medical requirements

Accelerator
Artificial Intelligence, Big Data and Analytics, Biotechnology and Bioinformatics, Internet-of-Things

Sector
Healthcare/Health Sciences

Organization
Massachusetts Institute of Technology

Source

Original Publication Date
March 19, 2018

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