April 4, 2025 [noon – 1pm] in the MassAchusetts Room
- #1 – An Objective Assessment Tool for Evaluating Functioning in Older Adults
- #2 – AI-powered Web Application to Analyze Knee Joint Space for Aging Population
- #3 – Smartphone-Based Fall Prevention Therapy and Monitoring for Older Adults
- #4 – Aliviado Dementia Care Machine Learning Algorithm Development for Caregiving
- #5 – Feasibility and Acceptability of a Robotic Assistant for Early-Stage ADRD Care
- #6 – Unobtrusive Chronic Pain Monitoring and Assessment for LTC Residents with Alzheimer’s Disease and Related Dementia (ADRD) Using Multimode Sensing and Deep Learning
- #7 – An AI-powered Digital Therapy Assistant for Monitoring and Treating Cognitive Impairment
- #8 – Smart Rep: Smart Automation to Respond to patient portal messages
- #9 – Motor Function Assessment for Mild Cognitive Impairment, Frailty, and Fall Risk
- #10 – AI/ML Analyses of Mobility Changes Among Elderly Using Continuous Gait Data
PI(s) Nicholas Kalaitzandonakes Institution/Company Foresite Healthcare AITC Affiliation PennAITech - #11 – AI Enhanced Scheduling to Enable an Affordable Neighborhood Model for In-Home Caregiving
- #12 – Detecting Cognitive Impairment using Large Language Models from Speech
- #13 – Mobile technology as a cognitive biomarker of Alzheimer’s disease
- #14 – Building Deep Digital Twins for Prediction of AD/ADR/MCI in Older Adults
- #15 – ADPIE: Deep Phenotyping of People with AD Using Portable Integrated Equipment
- #16 – An Equitable ML-based Music Intervention for At-risk Older Adults
- #17 – A Digital Dyadic Coach to Promote Oral Health Self-Care in Older Adults
- #18 – Improved Algorithms for Wearable, Passive, Noninvasive Blood Pressure Monitoring for Seniors
- #19 – Correlations Between Light Exposure Inputs and Sleep Quality Outputs
- #20 – AI for Predicting Adverse Health Events in the Elderly Through Wearable Devices
- #21 – Developing a Home Cognitive Vital Sign to Detect Cognitive Changes in Alzheimer’s Disease
- #22 – Machine Learning-powered Wearables for Adaptive Electrical Vestibular Stimulation Balance Therapy for Older Adults at Home
- #23 – Characterizing & Stratifying Cognitive Impairment Using Cognitive and Speech AI
- #24 – Towards an AI-based care plan for ADRD caregiver-patient dyads
- #25 – AI-powered Video App using Deep Learning to Assess Motor Functions in Parkinson’s Patients at Home
PI(s) Hamed Tabkhi, PhD Institution/Company Foresight Cares, Inc AITC Affiliation MassAITC - #26 – Creating a Framework for Large Language Models for Caregiver Support in Dementia (CARE-ALL)
PI(s) Ipsit Vahia and Rachel Sava Institution/Company McLean Hospital / Rippl AITC Affiliation MassAITC - #27 – A Downloadable Oscillometric BP Monitor for All Smartphones with No Attachments
- #28 – Protecting Patients against Phishing Attacks using AI-enabled Agents
- #29 – Task-Oriented Multimodal Conversational AI for Assisting Older Adults with Daily Tasks
- #30 – MUSICARE-VR: Music Intervention with Virtual Reality for Alzheimer’s Care