Advancing Heart Failure Management through AI-Driven Telemonitoring in Specialized Home Care Setting
Research Project, 2024
– 2027
In this project, we plan to combine AI-driven telemonitoring with specialized home care to improve management of heart failure (HF) patients. Using AI, we aim to develop a predictive model identifying advanced HF patients at high mortality risk within a year. Additionally, we plan an intuitive interface, utilizing large language models to communicate predictive outcomes to healthcaregivers. Our goal is to provide cost-efficient, safe, and effective home care for advanced HF patients, tailored to individual patient needs.
Participants
Yinan Yu (contact)
Chalmers, Computer Science and Engineering (Chalmers), Functional Programming
Funding
VINNOVA
Project ID: 2024-01446
Funding Chalmers participation during 2024–2027
Related Areas of Advance and Infrastructure
Information and Communication Technology
Areas of Advance
Health Engineering
Areas of Advance