Pilots

Towards an AI-based Care Plan for ADRD Caregiver-patient Dyads

G. Antonio Sosa-Pascual, REOFTech. Michael Busa, UMass Amherst. This project aims to collect data from wearables and smart home sensors to determine the state, rate, and direction of change in dementia patient agitation and caregiver well-being. Analyzing the strength, directionality, and temporal relationship between the classifiers from each specific dyad member will allow our platform to provide novel insights and actionable intelligence for both the dyad and their clinical care providers.

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An AI-powered Digital Therapy Assistant for Monitoring and Treating Cognitive Impairment

Jennifer Flexman, Moneta Health. Michael Busa, UMass Amherst. This project will develop AI algorithms used by Moneta™ digital therapy assistant to monitor the speech of individuals with mild cognitive impairment and early dementia during cognitive rehabilitation therapy.

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Chronic Pain Monitoring and Assessment for LTC Residents with ADRD by AI Sensing

Xian Du, Joohyun Chung, UMass Amherst. Shishir Prasad, BD. In this project, we will develop the approach for the continuous monitoring of long-term care (LTC) resident’s behavioral and physiological signals over extended durations using cameras and wearable sensors.

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Creating a Framework for Large Language Models for Caregiver Support in Dementia

Ipsit Vahia, Rachel Sava, McLean Hospital. Joseph Chung, Rippl. This project seeks to identify the specific domains of caregiver support that may be best served by AI over geriatric care managers, and to develop an ethical framework for the interaction between caregivers and large language models.

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