AIDEM 2020
First International Symposium on Artificial Intelligence for
Prevention & Intervention in Dementia Care

 

Topic

Recently, advanced techniques have been explored in neuroimaging as well as in neuropsychological and other data sources to effectively monitor brain health to detect early onset of dementia (Mortamais et al., 2017). Advances in Big Data and AI technologies coupled with increasing speed in data generation has seen exponential growth in research and development of these technologies within the context of dementia prevention. Taking advantage of Big Data technologies, data driven approaches are developed in dementia prevention initiatives and are able to process and manage these data with high throughput (Doubal et al., 2017). Projects aim to generate not only large and high quality, but also phenotypically deep, data sets and are employing state-of-the-art Big Data technologies to process and make these data available through secured analytics environment for hypothesis testing. Current examples of such initiative include the ongoing European Prevention of Alzheimer Disease, EPAD (Solomon et al., 2018) and PREVENT research programme (Ritchie et al., 2012).

The increasing number of older adults with dementia poses a major challenge for public health worldwide. At the same time, the limited number of informal and professional caregivers available to support this rapidly growing population is of mounting concern. Not only does population aging limit the number of potential caregivers, but extant caregivers often lack skills and knowledge to provide a high quality of care. The integration of intelligent assistive technologies (IAT), including devices, robotics and sensors in many forms, into care of people with dementia, may offer opportunities to support caregivers and enhance healthcare services while improving the quality of life among older adults with mild to severe cognitive deficits. However, many caregivers and their care recipients lack access to these technologies. The reasons for this reduced access are multifactorial, including the digital divide, sociocultural factors, and technological literacy. The AIDEM symposium investigates the emerging use of AI-enabled IAT available to caregivers and older adults with cognitive deficits and explores the challenges in socioeconomic status and technological literacy as well as ethical and legal implications that should be considered in the design and development of IAT for older adults with cognitive deficits. Drawing from existing state-of-the-art, AIDEM will suggest novel technologies and services for the design and adoption aimed at increased and equitable access for this vulnerable population.

AIDEM welcomes contributions on Artificial Intelligence in various segments of dementia research and services, topics of interest include but are not limited to, AI-based monitoring to explore early changes in dementia progression, Biomarker identification for prevention and early detection, Assistive technologies and intervention, Multimodal analytics of interaction, AI and modifiable risk factors, AI and recommender systems in dementia, big data analysis in the context of dementia prevention, monitoring & intervention.

Organisation

Chairs

Lucas Paletta

Joanneum Research, Austria

 

Sandra Schüssler

Medical University of Graz, Austria

 

Björn Schuller

University of Augsburg, Germany

 

Bettina Huseboø

University of Bergen, Norway

Local Chair

Stefanie Auer

Danube University Krems, Austria

Demo Chair

Maria Fellner

digitAAL Life GmbH, Austria

 

Credit: JOANNEUM RESEARCH DIGITAL / Schneeberger

Program[1]

09:30

Welcome Note

Lucas Paletta, Sandra Schüssler

09:40

Keynote 1: mHealth for Neuro Degenerative Diseases: Something to Remember

Björn Schuller

Imperial College London & University of Augsburg, Chair of Embedded Intelligence for Health Care and Wellbeing, CEO of audEERING GmbH

Chair: Lucas Paletta

10:25

AI for Dementia Diagnosis: Imaging, Generalizability and Open Science

Esther Bron

Erasmus MC, Rotterdam, The Netherlands

 

10:50

Brain Changes Induced by a VR-based Mindfulness Training

Guilherme Wood, Silvia Kober

University of Graz, Graz, Austria

 

11:15

Keynote 2: Assistive technology for home-dwelling people with dementia in times of COVID-19

Bettina Husebo

University of Bergen, Department of Global Public Health and Primary Care (IGS), Centre for Elderly and Nursing Home Medicine (SEFAS)

Chair: Sandra Schüssler

 

12:00

Break

 

13:00

Body and Brain Training with Big Data & AI for Seniors with Dementia

Henrik Hautop Lund

Technical University of Denmark

 

13:25

Integrating Artificial Intelligence in a Web-based Interactive Educational Tool to Support People with Dementia and their Caregivers: An Explorative Feasibility Study

Connor Buffel, Geert Vander Stichele

Mindbytes, Edmonton, Canada

 

13:50

Multimodal Activation for Cognitive Performance in Dementia Care: Towards AI-enabled Decision Support

Lucas Paletta, Silvia Russegger, Maria Fellner

Joanneum Research, Graz, Austria

digitAAL Life GmbH, Graz, Austria

 

14:15

Keynote 3: Dementia, Diversity, and Disparities: A Perspective from the United States

Jennifer Schlesinger

Associate Vice President, Healthcare Services and Community Education, Alzheimer's Los Angeles

Chair: Lucas Paletta

 

15:00

Demo Session, Introduction

Lucas Paletta, Maria Fellner

15:05

Demo #1: Playful Multimodal Activation with the digitAAL Life App.

Maria Fellner, digitAAL Life GmbH, Austria

 

Demo #2: SERES - Web-based Interactive Educational Tool for Family Caregivers of People with Dementia.

Connor Buffel, Mindbytes, Canada

 

Demo #3: MIRA – A Gaze-based Serious Game for the Estimation of Alzheimer’s Mental State.

Lucas Paletta, Joanneum Research, Austria

 

Demo #4: The Social Robot AMIGO: Coach and Companion for Persons with Dementia.

Lucas Paletta, Joanneum Research, Austria

 

Demo #5: Augmented reality assistance technologies in the context of care services for people with dementia in the home environment.

Lucas Paletta, Joanneum Research, Austria

16:00

Goodbye note & end of Symposium

Lucas Paletta

 


[1] time table in CET

KEYNOTES

Keynote 1: Björn Schuller- mHealth for Neuro Degenerative Diseases: Something to Remember

Björn W. Schuller received his diploma, doctoral degree, habilitation, and Adjunct Teaching Professor in Machine Intelligence and Signal Processing all in EE/IT from TUM in Munich/Germany. He is Full Professor of Artificial Intelligence and the Head of GLAM at Imperial College London/UK, Full Professor and Chair of Embedded Intelligence for Health Care and Wellbeing at the University of Augsburg/Germany, co-founding CEO and current CSO of audEERING – an Audio Intelligence company based near Munich and in Berlin/Germany, and permanent Visiting Professor at HIT/China amongst other Professorships and Affiliations. Previous stays include Full Professor at the University of Passau/Germany, and Researcher at Joanneum Research in Graz/Austria, and the CNRS-LIMSI in Orsay/France. He is a Fellow of the IEEE and Golden Core Awardee of the IEEE Computer Society, Fellow of the ISCA, President-Emeritus of the AAAC, and Senior Member of the ACM. He (co-)authored 900+ publications (30k+ citations, h-index=83), is Field Chief Editor of Frontiers in Digital Health and was Editor in Chief of the IEEE Transactions on Affective Computing amongst manifold further commitments and service to the community. His 30+ awards include having been honoured as one of 40 extraordinary scientists under the age of 40 by the WEF in 2015. He served as Coordinator/PI in 15+ European Projects, is an ERC Starting Grantee, and consultant of companies such as Barclays, GN, Huawei, or Samsung.

 

Contac: https://en.wikipedia.org/wiki/Bj%C3%B6rn_Schuller

Keynote 3: Jennifer Schlesinger - Dementia, Diversity, and Disparities: A Perspective from the United States

ABSTRACT:

Ethnically, culturally, and linguistically diverse communities have different views of dementia as well as different barriers to care and information.  This can impact disease identification, diagnosis, and post-diagnostic care and support.  Low literacy and low health literacy leaves many individuals unable to comprehend and act on health-related information.  When individuals are affected by dementia and family caregivers are under stress, plain language materials can help them absorb information more easily, improving their ability to manage challenging caregiver situations and dementia-related behavioral symptoms.

BIO:

Jennifer Schlesinger, MPH, CHES, is the Associate Vice President of Healthcare Services and Community Education at Alzheimer’s Los Angeles.  She oversees technical assistance to healthcare systems to improve their dementia capability, professional training, outreach to healthcare professionals, and community education progra