Communications of the ACM
Initiative Aims for AI-Driven Behavioral Health Monitoring
Credit: Precision Behavioral Health
Behavioral health issues like depression and bipolar disorder don't often manifest with clear, outward symptoms.
But technologies such as smartphones and smartwatches could be used to detect subtle changes in behavior and help willing individuals — in coordination with their doctors — better monitor and manage their conditions.
Tanzeem Choudhury, the Roger and Joelle Burnell Professor in Integrated Health and Technology at the Jacobs Technion-Cornell Institute at Cornell Tech, sees incredible potential for artificial intelligence (AI) in the area of behavioral health, a term encompassing all aspects of mental well-being. To that end, Choudhury this past fall launched the Precision Behavioral Health Initiative, a collaboration between health industry professionals and faculty and students throughout Cornell Computing and Information Science.
"There's a lot of cool technology out there and really innovative sensors and home devices that can understand users and user behavior," Choudhury says. "The challenge for the initiative is, how to take this volume of user data and interpret it into meaningful health metrics to be used by doctors and clinicians to understand patients' mental health and provide the best treatments?"
From Cornell University
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