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Research Project
RAISE - Spoke 2: Robotics e AI for personal and remote health care
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The application of robotics and artificial intelligence to the field of healthcare.
Where: Italy
Where: Italy
Challenge
In the context of developing the RAISE innovation ecosystem, Spoke 2 aims to create the technological foundations for a distributed, connected, and personalized healthcare system, addressing the technological challenges related to home care, personalized medical treatments, and diagnostics.
Approach
In RAISE – Spoke 2 Robotic Assistants (RAs) provide support in some of the tasks usually performed by caregivers in the context of home care, such as delivering physical-cognitive rehabilitation exercises, therapy reminders, monitoring for potential falls, and encouraging socialization.
Through AI and ML technologies, RAs can learn human-like social behaviors from multimodal data collected during interactions with users and enable the evolution of the learned behavioral models through subsequent interactions.
RAISE – Spoke 2 is developing a library of AI and machine learning (ML) algorithms and a prototype of a robotic assistance system to support patients with degenerative diseases by monitoring health, detecting potential incidents, and assisting with daily activities. Engineering is responsible for providing software tools for programming physical RAs.
RAISE – Spoke 2 is part of the RAISE project, funded by the Italian Ministry of University and Research under the National Recovery and Resilience Plan (PNRR), Mission 4, Component 2, Investment 1.5.
Expected Results
Providing personalized support to patients
Monitoring health
Impacts
Technologies
AI & Data
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Case Study
Implementation and deployment of the Regional Electronic Health Record for Healthcare Entities in Abruzzo
Elevating the digitalization of care and assistance processes in hospitals.
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Reengineering of the Health Record of the Regione Molise
The evolution will facilitate information sharing among healthcare facilities and ensure citizens access to an integrated and coordinated service.
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Research Project
QLMD: Quantum Computing for an efficient urban logistical ecosystem
Applying Quantum Computing to urban logistics to optimize routes, reduce costs and emissions, improve sustainability, and tackle complex problems with scalable solutions.
-
Case Study
Implementation and deployment of the Regional Electronic Health Record for Healthcare Entities in Abruzzo
Elevating the digitalization of care and assistance processes in hospitals.
-
Case Study
Reengineering of the Health Record of the Regione Molise
The evolution will facilitate information sharing among healthcare facilities and ensure citizens access to an integrated and coordinated service.
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