Ethical issues when using digital biomarkers and artificial intelligence for the early detection of dementia

E Ford, R Milne, K Curlewis - Wiley Interdisciplinary Reviews …, 2023 - Wiley Online Library
Dementia poses a growing challenge for health services but remains stigmatized and under‐
recognized. Digital technologies to aid the earlier detection of dementia are approaching …

Going round in circles—The Papez circuit in Alzheimer's disease

G Forno, A Lladó, M Hornberger - European Journal of …, 2021 - Wiley Online Library
The hippocampus is regarded as the pivotal structure for episodic memory symptoms
associated with Alzheimer's disease (AD) pathophysiology. However, what is often …

Wearable sensors and features for diagnosis of neurodegenerative diseases: A systematic review

H Zhao, J Cao, J Xie, WH Liao, Y Lei, H Cao… - Digital …, 2023 - journals.sagepub.com
Objective Neurodegenerative diseases affect millions of families around the world, while
various wearable sensors and corresponding data analysis can be of great support for …

Wearable GPS and accelerometer technologies for monitoring mobility and physical activity in neurodegenerative disorders: a systematic review

M Ó Breasail, B Biswas, MD Smith, MKA Mazhar… - Sensors, 2021 - mdpi.com
Neurodegenerative disorders (NDDs) constitute an increasing global burden and can
significantly impair an individual's mobility, physical activity (PA), and independence …

Human-centred artificial intelligence for mobile health sensing: challenges and opportunities

T Dang, D Spathis, A Ghosh… - Royal Society Open …, 2023 - royalsocietypublishing.org
Advances in wearable sensing and mobile computing have enabled the collection of health
and well-being data outside of traditional laboratory and hospital settings, paving the way for …

Digital biomarkers and sex impacts in Alzheimer's disease management—potential utility for innovative 3P medicine approach

RL Harms, A Ferrari, IB Meier, J Martinkova, E Santus… - EPMA Journal, 2022 - Springer
Digital biomarkers are defined as objective, quantifiable physiological and behavioral data
that are collected and measured by means of digital devices. Their use has revolutionized …

[HTML][HTML] What can we learn from telematics car driving data: A survey

G Gao, S Meng, MV Wüthrich - Insurance: Mathematics and Economics, 2022 - Elsevier
We give a survey on the field of telematics car driving data research in actuarial science. We
describe and discuss telematics car driving data, we illustrate the difficulties of telematics …

Neuropsychological correlates of changes in driving behavior among clinically healthy older adults

AJ Aschenbrenner, SA Murphy… - The Journals of …, 2022 - academic.oup.com
Objectives To determine the extent to which cognitive domain scores moderate change in
driving behavior in cognitively healthy older adults using naturalistic (Global Positioning …

[PDF][PDF] Driving performance in older adults: Current measures, findings, and implications for roadway safety

R Toups, TJ Chirles, JP Ehsani, JP Michael… - Innovation in …, 2022 - academic.oup.com
Abstract Background and Objectives Over 10,000 people a day turn 65 in the United States.
For many older adults, driving represents an essential component of independence and is …

Affective computing for late-life mood and cognitive disorders

E Smith, EA Storch, I Vahia, STC Wong… - Frontiers in …, 2021 - frontiersin.org
Affective computing (also referred to as artificial emotion intelligence or emotion AI) is the
study and development of systems and devices that can recognize, interpret, process, and …