Refusing participation: hesitations about designing responsible patient engagement with artificial intelligence in healthcare

F Lysen, S Wyatt - Journal of Responsible Innovation, 2024 - Taylor & Francis
The rapidly expanding field of artificial intelligence (AI) is often accompanied by calls for
parallel research on its societal implications. For research about AI in healthcare, this …

How Artificial Intelligence Challenges Tailorable Technology Design: Insights from a Design Study on Individualized Bladder Monitoring

P Fechner, F König, J Lockl, M Röglinger - Business & Information Systems …, 2024 - Springer
Artificial intelligence (AI) has significantly advanced healthcare and created unprecedented
opportunities to enhance patient-centeredness and empowerment. This progress promotes …

More unique, more accepting? Integrating sense of uniqueness, perceived knowledge, and perceived empathy with acceptance of medical artificial intelligence

Z Cai, H He, W Huo, X Xu - International Journal of Human …, 2024 - Taylor & Francis
Artificial intelligence (AI) has had a profound impact on the medical industry. As the ultimate
consumers, patients' acceptance of medical AI plays an important role in realizing its …

" It's like a glimpse into the future": Exploring the Role of Blood Glucose Prediction Technologies for Type 1 Diabetes Self-Management

CM Barth, J Bernard, EM Huang - … of the 2024 CHI Conference on …, 2024 - dl.acm.org
Self-management of type 1 diabetes (T1D) involves multiple factors, frequent anticipation of
changes in blood glucose, and complex decision-making. ML-based blood glucose …

Limitations of Using Mobile Phones for Managing Type 1 Diabetes (T1D) Among Youth in Low and Middle-Income Countries: Implications for mHealth

S Wyche, DJ Olson, M Karanu, E Omondi… - Proceedings of the ACM …, 2024 - dl.acm.org
The prevalence of Type 1 Diabetes (T1D) among youth is increasing worldwide. Mobile
phones, particularly mHealth applications, can potentially improve youth's management of …

Artificial intelligence for collective intelligence: a national-scale research strategy

S Bullock, N Ajmeri, M Batty, M Black… - The Knowledge …, 2024 - cambridge.org
Advances in artificial intelligence (AI) have great potential to help address societal
challenges that are both collective in nature and present at national or transnational scale …

Unraveling Autoimmunity: Exploring Etiological Factors

SK Aggarwal, N Lal, A Sinha - Proceedings of International …, 2024 - books.google.com
The human body's immune system has a crucial and essential role in protecting humans
from foreign substances that might hinder bodily functions, including fungi, viruses, and …

Reflexive Co-Design: A Participatory Method to Design for Socially Responsible Technology Based on Responsible Research and Innovation

Y Nakao - Available at SSRN 4883264, 2024 - papers.ssrn.com
Participatory approaches to design have been explored to develop socially responsible
information technologies. Because it is difficult for participants in design activities to …

Enhancing Diabetes Management Through GRU Analysis of Physical Activity Effects

B Simon, Á Hartveg, M Siket… - 2024 IEEE 22nd …, 2024 - ieeexplore.ieee.org
This study addresses the insufficient consideration of physical activity in managing Type 1
diabetes mellitus, using real patient data from the Ohio dataset to assess its impact. We …

SDAGS: SMOTE+ FOREST DIFFUSION-BASED DATA AUGMENTATION AND GBT-BASED STACKING ENSEMBLE LEARNING FOR HOLISTIC AI-POWERED …

AK Nguyen, BY Gong, BT Trinh, T Le Hong… - Journal of Computer …, 2024 - vjs.ac.vn
It's critical to track and anticipate diabetes in emerging nations like Vietnam, particularly for
those with type 1 diabetes. This article proposes SDAPS, an AI-powered diabetes prediction …