Over the past decade, paradigm shifts have been made towards the way healthcare is delivered and managed. Emerging pervasive sensing technologies coupled with advanced data analytics have enabled real-time personalized and environmental monitoring. These technologies have the potential to transform clinical practice in terms of diagnostics, prognosis, preventive healthcare, and rehabilitative/assistive technologies. To enable these systems, we need to understand the challenges in developing AI algorithms to handle heterogeneous, varying quality and imbalanced data. Academics, industry and NHS should work together to develop reliable and trustworthy technologies as well as Deep Learning brain-based algorithms that are able to handle and interpret continuous streams of heterogeneous, multi-modal data.   

This workshop aims to bring together academics, industry and NHS related organisations with the goal to highlight opportunities for collaboration. We plan to:  

• Promote our technologies and Brain-based AI tools for adoption in the NHS and industry  
• Strengthen our current industrial partnerships and seek to establish new ones 
• Discuss state-of-the art work in the area of pervasive sensing and healthy brain imaging and how to exploit these to enable innovative solutions.   

Submission Guidelines

The deadline for submission is Friday 2nd June - Extended to Sunday 11th of June.

• Abstract Submission - Format of the abstract should be: 1 page, size 11pt font, 2cm margins from all sides & font Arial.

First, you will need to set up an account (username and password) as an author at the following link: https://easychair.org/my/conference?conf=aiuofg2023

Then to submit your abstract, log in to the EasyChair website & click "new submission" located on the top-left corner of the menu bar.

List of Topics

• AI and Brain Imaging in Well-Being and Healthy Ageing
• AI in Analysing Signatures of Motor Impairments and Physiological Measures
• AI-Driven Therapeutic Interventions
• AI in Long Term Monitoring for Well-Being and Healthy Ageing

Committees

Organizing committee

• Fani Deligianni, School of Computing Science, University of Glasgow
• Monika Harvey, School of Psychology & Neuroscience, University of Glasgow
• Ana Talbot, NHS Lanarkshire,
• Xiao Gu, Imperial College London

Invited Speakers

• Dr. Gordon Waiter, University of Aberdeen - AI and Imaging in Well-Being and Healthy Ageing
• Prof. Athanasios Tsanas, University of Edinburgh - Pervasive Computing in Well-Being and Healthy Ageing
• Prof. Anne Hendry, NHS Lanarkshire - Preventing and Managing Frailty: Opportunities for AI
• Dr. Fanny Dégeilh, Inserm - Imaging the Uniqueness of A Young Child's Brain
• Dr. Michele Swanera, University of Glasgow - Deep Learning for MRI Analysis in Neuroscience
• Dr. Edmond Ho, University of Glasgow  - Video-based Prediction and Classification of Neurological Disorders
• Dr. Aurelien Nioche, University of Glasgow - Personalized nudging using active inference for improving adherence to an exercise plan 

Venue

The conference will be held in Seminar Rm 237, Advanced Research Centre (ARC), University of Glasgow, 11 Chapel Lane, G11 6EW.

Contact

All questions about submissions should be emailed to social-cdt@glasgow.ac.uk