Aisling Ann O'Kane

University of Bristol

United Kingdom

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Articles (11)

Year:

2025

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2025

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2024

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2024

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2023

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2023

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2023

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2022

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2022

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2022

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2022

Collaborators (14)

Rachel Eardley

University of Bristol

UNITED KINGDOM

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Chris Duckworth

University of Southampton

UNITED KINGDOM

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Peter Flach

Professor of Artificial Intelligence

University of Bristol

UNITED KINGDOM

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Amid Ayobi

University College London

UNITED KINGDOM

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Katarzyna Stawarz

University of Bristol

UNITED KINGDOM

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Paul Marshall

University of Bristol

UNITED KINGDOM

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Rachael Gooberman-Hill

University of Bristol

UNITED KINGDOM

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Christoph Riedl

Northeastern University

UNITED STATES

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Ewan Soubutts

University College London

UNITED KINGDOM

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Zahraa S. Abdallah

University of Bristol

UNITED KINGDOM

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Miranda Armstrong

University of Bristol

UNITED KINGDOM

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Gregory Tourte

University of Bristol

UNITED KINGDOM

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John Cartlidge

University of Bristol

UNITED KINGDOM

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Oritsetimeyin Arueyingho

University of Bristol

UNITED KINGDOM

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Aisling Ann O'Kane

Research Interests

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Articles (11)

The potential and challenges of AI for collective intelligence

Context-Driven Collaborative Care: An Afro-Centred Perspective on Technology and Design Opportunities for Managing Type 2 Diabetes in Nigeria

A Quantitative Report on Type 2 Diabetes Care in Port Harcourt: Insights into Socio-demographic Influences and Opportunities for Digital Health Promotion (Preprint)

Artificial intelligence for collective intelligence

Explanation before Adoption: Supporting Informed Consent for Complex Machine Learning and IoT Health Platforms

Chronic Care in a Life Transition: Challenges and Opportunities for Artificial Intelligence to Support Young Adults With Type 1 Diabetes Moving to University

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

Digital Mental Health and Social Connectedness: Experiences of Women from Refugee Backgrounds

A case study investigating a user-centred and expert informed `companion guide' for a complex sensor-based platform

Explainable Machine Learning for Real-Time Hypoglycemia and Hyperglycemia Prediction and Personalized Control Recommendations

Digital Mental Health and Social Connectedness: Experiences of Women from Refugee Backgrounds

Collaborators (14)

Rachel Eardley

Chris Duckworth

Peter Flach

Amid Ayobi

Katarzyna Stawarz

Paul Marshall

Rachael Gooberman-Hill

Christoph Riedl

Ewan Soubutts

Zahraa S. Abdallah

Miranda Armstrong

Gregory Tourte

John Cartlidge

Oritsetimeyin Arueyingho

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