CARE | Connected and AI-enabled Research for Health
Through co-innovation, we bring together patients, healthcare professionals, researchers, and industry partners to develop, test, and implement digital health solutions that improve the quality, efficiency, and accessibility of healthcare. These solutions include digital services, remote monitoring technologies, artificial intelligence, and medical devices. The goal of our research is to support patients and professionals in decision-making, streamline care processes, and provide more personalized and effective care. At the same time, we seek to ensure patient safety, and the responsible use of technological solutions.
Projects
Health Device development
The purpose of this project is to develop new clinical devices for nursing care. We are using user-centric designs and smart technology based on Artificial Intelligence. One of the used technologies is the Internet of Things (IoT), a novel paradigm where objects with unique identities can be integrated into an information network to provide intelligent services for health care. With embedded sensor systems and advanced data analytics and machine learning the heterogeneous data can be transformed into useful form for the caregivers.
Smart Gloves for CPR
Smart Gloves to evaluate the quality of CPR (ResuGloves) The aim of the Smart Glove project is to develop portable, cost-effective and easy to use medical device that will provide real-time feedback, aimed to improve the quality of chest compressions during laypersons’ CPR training and prehospital resuscitation. Once developed and implemented, the smart glove is expected to be valuable to train CPR in communities as well as governmental and private institutions. Besides, the smart glove has the potential to be used by laypersons and inexperienced health professionals both in hospitals and out of hospital real cardiac arrests, particularly in resources limited settings.
Smart Pain Assessment tool based on IoT (SPA)
Sanna Salanterä
Pasi Liljeberg, PhD, Professor, Department of Future Technologies, University of Turku
The purpose of the SPA project is to benefit from the offered features of the Internet of Things and sensor networks to provide an automatic tool which can detect and assess pain employing behavioral and physiologic indicators such as facial muscle activity, heart rate, blood pressure, breathing rate and galvanic skin response. The aim of this project is to develop a system based on Internet of Things to detect and assess pain in a reliable way by enabling the pain diagnoses in the case when the patient is unable to communicate and express the pain sensations.
AI and Machine learning for health
The purpose of this project is to support nurses’ and health care workers’ with AI, Machine learning and text-mining for decision-making, evaluation and prediction of care. The project aims at testing novel algorithms and tools for clinical texts.
Text mining to assess the disease burden of healthcare associated infections
The purpose of this study is to identify early predictors of hospital acquired infections. The ultimate goal of this project is to increase the care quality of intensive care patients.
Human-Centric Artificial Intelligence for Sustainable Future (HAIF)
Human-Centric Artificial Intelligence for Sustainable Future (HAIF) is a doctoral training project for 25 doctoral researchers hosted by the University of Turku (UTU). HAIF unites research groups from the fields of computing, materials science, social sciences, law, humanities and health sciences. The project’s unique, human-centric approach stems from this interdisciplinary collaboration. HAIF’s objective is to provide training that promotes safe and secure, legally and ethically sustainable use of AI, with an emphasis on humans as developers, users and decision-subjects affected by the technology. In addition to individual and societal perspectives, HAIF’s research themes delve into the technological properties that shape interactions between humans and AI systems (e.g. transparency, interpretability, reliability and accountability). The global research collaborations and industry partnerships within the HAIF network bring in internationality, cross-sectorality and business relevance to the HAIF doctoral training project.
We focus on advancing the use of digital and social innovations to create value for health. We are dedicated to advancing mental health promotion and care through the development of highly personalized digital tools for early detection, prevention and care across a range of symptoms, problems and disorders. We have a strong stakeholder approach and conduct research in partnership with patients, families, professionals, healthcare organizations and companies.
Principal Investigator:
Research personnel
PhD students
- Riitta Rosio, PT, MHSc, PhD, Smart Pain Assessment Tool for noncommunicative patients – Early stage development and evaluation
- Desale Tewelde Kahsay, MSc, CRNA, ENP, PhD candidate, Smart Gloves to evaluate the quality of CPR
- Kristiina Heikkilä
- Kirsi Terho
- Tiina Kurvinen
- Anna Tornivuori
- Hannah Liuska
- Kristin Adler
- Reetta Mustonen