Chronic care in a life transition: Challenges and opportunities for artificial intelligence to support young adults with type 1 diabetes moving to university

S James, M Armstrong, Z Abdallah… - Proceedings of the 2023 …, 2023 - dl.acm.org
Self-managing a chronic condition involves adapting management strategies to life's
continual change. Among these changes, moments of significant life transition can render …

[HTML][HTML] Functionality of top-rated mobile apps for depression: systematic search and evaluation

C Qu, C Sas, CD Roquet, G Doherty - JMIR mental health, 2020 - mental.jmir.org
Background: In the last decade, there has been a proliferation of mobile apps claiming to
support the needs of people living with depression. However, it is unclear what functionality …

[HTML][HTML] User experience of cognitive behavioral therapy apps for depression: an analysis of app functionality and user reviews

K Stawarz, C Preist, D Tallon, N Wiles… - Journal of medical Internet …, 2018 - jmir.org
Background Hundreds of mental health apps are available to the general public. With
increasing pressures on health care systems, they offer a potential way for people to support …

Governing AI–attempting to herd cats? Introduction to the special issue on the Governance of Artificial Intelligence

T Büthe, C Djeffal, C Lütge, S Maasen… - Journal of European …, 2022 - Taylor & Francis
Artificial Intelligence raises new, distinct governance challenges, as well as familiar
governance challenges in novel ways. The governance of AI, moreover, is not an issue of …

[HTML][HTML] Use of smartphone apps, social media, and web-based resources to support mental health and well-being: online survey

K Stawarz, C Preist, D Coyle - JMIR mental health, 2019 - mental.jmir.org
Background: Technology can play an important role in supporting mental health. Many
studies have explored the effectiveness, acceptability, or context of use of different types of …

Technology recommendations to support: person-centered Care in Long-Term Care Homes during the COVID-19 pandemic and beyond

CH Chu, C Ronquillo, S Khan, L Hung… - The COVID-19 …, 2022 - taylorfrancis.com
The COVID-19 pandemic has exposed persistent inequities in the long-term care sector and
brought strict social/physical distancing distancing and public health quarantine guidelines …

Open-source hardware for medical devices

G Niezen, P Eslambolchilar, H Thimbleby - BMJ innovations, 2016 - innovations.bmj.com
Open-source hardware is hardware whose design is made publicly available so anyone can
study, modify, distribute, make and sell the design or the hardware based on that design …

Medical device regulation (MDR) in health technology enterprises–perspectives of managers and regulatory professionals

J Huusko, UM Kinnunen, K Saranto - BMC health services research, 2023 - Springer
Abstract Background In the European Union (EU), there are over half a million medical
devices, varying from pacemakers to software. Medical devices play an important role in …

[HTML][HTML] Co-designing opportunities for Human-Centred Machine Learning in supporting Type 1 diabetes decision-making

K Stawarz, D Katz, A Ayobi, P Marshall… - International Journal of …, 2023 - Elsevier
Abstract Type 1 Diabetes (T1D) self-management requires hundreds of daily decisions.
Diabetes technologies that use machine learning have significant potential to simplify this …

Turning to peers: integrating understanding of the self, the condition, and others' experiences in making sense of complex chronic conditions

AA O'kane, SY Park, H Mentis, A Blandford… - Computer Supported …, 2016 - Springer
People are increasingly involved in the self-management of their own health, including
chronic conditions. With technology advances, the choice of self-management practices …