Multimodal healthcare AI: identifying and designing clinically relevant vision-language applications for radiology

N Yildirim, H Richardson, MT Wetscherek… - Proceedings of the …, 2024 - dl.acm.org
Recent advances in AI combine large language models (LLMs) with vision encoders that
bring forward unprecedented technical capabilities to leverage for a wide range of …

A systematic literature review of human-centered, ethical, and responsible AI

M Tahaei, M Constantinides, D Quercia… - arxiv preprint arxiv …, 2023 - arxiv.org
As Artificial Intelligence (AI) continues to advance rapidly, it becomes increasingly important
to consider AI's ethical and societal implications. In this paper, we present a bottom-up …

Sketching ai concepts with capabilities and examples: ai innovation in the intensive care unit

N Yildirim, S Zlotnikov, D Sayar, JM Kahn… - Proceedings of the …, 2024 - dl.acm.org
Advances in artificial intelligence (AI) have enabled unprecedented capabilities, yet
innovation teams struggle when envisioning AI concepts. Data science teams think of …

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 …

Challenges for responsible AI design and workflow integration in healthcare: a case study of automatic feeding tube qualification in radiology

A Thieme, A Rajamohan, B Cooper… - ACM Transactions on …, 2024 - dl.acm.org
Nasogastric tubes (NGTs) are feeding tubes that are inserted through the nose into the
stomach to deliver nutrition or medication. If not placed correctly, they can cause serious …

" It might be technically impressive, but it's practically useless to us": motivations, practices, challenges, and opportunities for cross-functional collaboration around AI …

Q **ao, X Fan, FM Simon, B Zhang, M Eslami - 2025 - ora.ox.ac.uk
Recently, an increasing number of news organizations have integrated artificial intelligence
(AI) into their workflows, leading to a further influx of AI technologists and data workers into …

Patient Perspectives on AI-Driven Predictions of Schizophrenia Relapses: Understanding Concerns and Opportunities for Self-Care and Treatment

DW Yoo, H Woo, VC Nguyen, ML Birnbaum… - Proceedings of the …, 2024 - dl.acm.org
Early detection and intervention for relapse is important in the treatment of schizophrenia
spectrum disorders. Researchers have developed AI models to predict relapse from patient …

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 …

3D Remote Monitoring and Diagnosis during a Pandemic: Holoportation and Digital Twin Requirements

KA Rufai, J Smiley, P Reuter, C Bain, P Chan… - Proceedings of the …, 2024 - dl.acm.org
COVID-19 regulations presented clinicians with a new set of challenges that affected their
ability to efficiently provide patient care and, as a result, telemedicine was rapidly adopted to …

Personal data store ecosystems in health and social care

L Carmichael, W Hall, M Boniface - Frontiers in Public Health, 2024 - frontiersin.org
This paper considers how the development of personal data store ecosystems in health and
social care may offer one person-centered approach to improving the ways in which …