Application of artificial intelligence in wearable devices: Opportunities and challenges

D Nahavandi, R Alizadehsani, A Khosravi… - Computer Methods and …, 2022 - Elsevier
Background and objectives: Wearable technologies have added completely new and fast
emerging tools to the popular field of personal gadgets. Aside from being fashionable and …

Artificial intelligence and machine learning‐aided drug discovery in central nervous system diseases: State‐of‐the‐arts and future directions

S Vatansever, A Schlessinger, D Wacker… - Medicinal research …, 2021 - Wiley Online Library
Neurological disorders significantly outnumber diseases in other therapeutic areas.
However, developing drugs for central nervous system (CNS) disorders remains the most …

Parkinson's disease detection from 20-step walking tests using inertial sensors of a smartphone: Machine learning approach based on an observational case-control …

M Juutinen, C Wang, J Zhu, J Haladjian… - PLoS …, 2020 - journals.plos.org
Parkinson's disease (PD) is a neurodegenerative disease inducing dystrophy of the motor
system. Automatic movement analysis systems have potential in improving patient care by …

New medical big data for P4 medicine on allergic conjunctivitis

T Inomata, J Sung, M Nakamura, K Fujisawa… - Allergology …, 2020 - jstage.jst.go.jp
abstract Allergic conjunctivitis affects approximately 15e20% of the global population and
can permanently deteriorate one's quality of life (QoL) and work productivity, leading to …

Using medical big data to develop personalized medicine for dry eye disease

T Inomata, J Sung, M Nakamura, M Iwagami… - Cornea, 2020 - journals.lww.com
Dry eye disease (DED) is a chronic, multifactorial ocular surface disorder with multiple
etiologies that results in tear film instability. Globally, the prevalence of DED is expected to …

Decision support for medication change of Parkinson's disease patients

BM Boshkoska, D Miljković, A Valmarska… - Computer Methods and …, 2020 - Elsevier
Background and Objective Parkinson's disease (PD) is a degenerative disorder of the
central nervous system for which currently there is no cure. Its treatment requires long-term …

[HTML][HTML] A Scoping Review of the Use of Machine Learning in Health Economics and Outcomes Research: Part 1—Data From Wearable Devices

W Lee, N Schwartz, A Bansal, S Khor, N Hammarlund… - Value in Health, 2023 - Elsevier
Objectives With the emerging use of machine learning (ML) techniques, there has been
particular interest in using wearable data for health economics and outcomes research …

[PDF][PDF] Применение технологий искусственного интеллекта в неврологии: обзор литературы

ЛВ Чичановская, ТВ Сороковикова… - Неврология и …, 2024 - recipe.by
Современная клиническая практика требует интеграции и интерпретации постоянно
растущих объемов клинических данных. Поэтому существует необходимость …

Systematic review of wearables assessing medication effect on motor function and symptoms in Parkinson's disease

E Packer, H Debelle, H Bailey, RZU Rehman, A Yarnall… - 2024 - researchsquare.com
To improve motor function and symptoms, people with Parkinson's (PwP) take dopaminergic
medication. Wearable technology (WT) can provide objective and continuous insights of …