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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Digital biomarker‐based individualized prognosis for people at risk of dementia
Maximilian Buegler, Robbert Harms, Mircea Balasa, et al.
Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring (2020) Vol. 12, Iss. 1
Open Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

Revolutionizing the Early Detection of Alzheimer’s Disease through Non-Invasive Biomarkers: The Role of Artificial Intelligence and Deep Learning
Aristidis G. Vrahatis, Konstantina Skolariki, Marios G. Krokidis, et al.
Sensors (2023) Vol. 23, Iss. 9, pp. 4184-4184
Open Access | Times Cited: 63
Machine Learning and Digital Biomarkers Can Detect Early Stages of Neurodegenerative Diseases
Artur Chudzik, Albert Śledzianowski, Andrzej W. Przybyszewski
Sensors (2024) Vol. 24, Iss. 5, pp. 1572-1572
Open Access | Times Cited: 25
Sex and gender considerations in Alzheimer’s disease: The Women’s Brain Project contribution
Laura Castro‐Aldrete, Michele V. Moser, Guido Putignano, et al.
Frontiers in Aging Neuroscience (2023) Vol. 15
Open Access | Times Cited: 38
The role of patient-reported outcome measures in trials of artificial intelligence health technologies: a systematic evaluation of ClinicalTrials.gov records (1997–2022)
Finlay J Pearce, Samantha Cruz Rivera, Xiaoxuan Liu, et al.
The Lancet Digital Health (2023) Vol. 5, Iss. 3, pp. e160-e167
Closed Access | Times Cited: 35
Neurodegenerative disease of the brain: a survey of interdisciplinary approaches
Franca Davenport, John Gallacher, Zoe Kourtzi, et al.
Journal of The Royal Society Interface (2023) Vol. 20, Iss. 198
Open Access | Times Cited: 30
Early detection of diseases causing dementia using digital navigation and gait measures: A systematic review of evidence
Giedrė Čepukaitytė, Coco Newton, Dennis Chan
Alzheimer s & Dementia (2024) Vol. 20, Iss. 4, pp. 3054-3073
Open Access | Times Cited: 9
Definitions of digital biomarkers: a systematic mapping of the biomedical literature
Ana Karen Macias Alonso, Julian Hirt, Tim Woelfle, et al.
BMJ Health & Care Informatics (2024) Vol. 31, Iss. 1, pp. e100914-e100914
Open Access | Times Cited: 9
Predicting cognitive scores from wearable-based digital physiological features using machine learning: data from a clinical trial in mild cognitive impairment
Yuri Rykov, Michael D. Patterson, Bikram A. Gangwar, et al.
BMC Medicine (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 8
The development and validation of a digital biomarker for remote assessment of Alzheimer's diseases risk
Joe Butler, Tamlyn Watermeyer, Ellie Matterson, et al.
Digital Health (2024) Vol. 10
Open Access | Times Cited: 7
Consensus on rapid screening for prodromal Alzheimer’s disease in China
Lin Huang, Qinjie Li, Yao Lu, et al.
General Psychiatry (2024) Vol. 37, Iss. 1, pp. e101310-e101310
Open Access | Times Cited: 6
Using a Digital Neuro Signature to measure longitudinal individual-level change in Alzheimer’s disease: the Altoida large cohort study
Irene B. Meier, Max Buegler, Robbert Harms, et al.
npj Digital Medicine (2021) Vol. 4, Iss. 1
Open Access | Times Cited: 40
PET-validated EEG-machine learning algorithm predicts brain amyloid pathology in pre-dementia Alzheimer’s disease
Nam Heon Kim, Ukeob Park, Dong Won Yang, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 14
Machine learning based algorithms for virtual early detection and screening of neurodegenerative and neurocognitive disorders: a systematic-review
Milad Yousefi, Masih Akhbari, Zhina Mohamadi, et al.
Frontiers in Neurology (2024) Vol. 15
Open Access | Times Cited: 5
Development of a Cohesive Predictive Model for Substance Use Disorder Rehabilitation Using Passive Digital Biomarkers, Psychological Assessments, and Automated Facial Emotion Recognition (Preprint)
Andrea P. Garzón‐Partida, Kimberly Magaña-Plascencia, Diana Fernández, et al.
(2025)
Closed Access
RADAR-AD: assessment of multiple remote monitoring technologies for early detection of Alzheimer’s disease
Manuel Lentzen, Srinivasan Vairavan, Marijn Muurling, et al.
Alzheimer s Research & Therapy (2025) Vol. 17, Iss. 1
Open Access
Ethics in digital phenotyping: considerations regarding Alzheimer’s disease, speech and artificial intelligence
Francesca Dino, Peter Pressman, Kevin Bretonnel Cohen, et al.
Journal of Medical Ethics (2025), pp. jme-110252
Closed Access
Opportunities arising from the tech revolution
Giedrė Čepukaitytė, Dennis Chan
Elsevier eBooks (2025), pp. 99-122
Closed Access
Augmented reality versus standard tests to assess cognition and function in early Alzheimer’s disease
Marijn Muurling, Casper de Boer, Srinivasan Vairavan, et al.
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 11
Innovative motor and cognitive dual-task approaches combining upper and lower limbs may improve dementia early detection
Gianmaria Mancioppi, Laura Fiorini, Erika Rovini, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 24
Digital biomarkers and sex impacts in Alzheimer’s disease management — potential utility for innovative 3P medicine approach
Robbert Harms, Alberto Ferrari, Irene B. Meier, et al.
The EPMA Journal (2022) Vol. 13, Iss. 2, pp. 299-313
Open Access | Times Cited: 16
Ethical challenges of using remote monitoring technologies for clinical research: A case study of the role of local research ethics committees in the RADAR-AD study
Marijn Muurling, Anna M.G. Pasmooij, Ivan Koychev, et al.
PLoS ONE (2023) Vol. 18, Iss. 7, pp. e0285807-e0285807
Open Access | Times Cited: 8
Artificial intelligence as an aid to diagnosing dementia: an overview
Mark Dashwood, Gabrielle Churchhouse, Matilda Young, et al.
Progress in Neurology and Psychiatry (2021) Vol. 25, Iss. 3, pp. 42-47
Open Access | Times Cited: 19
Machine Learning to Predict Brain Amyloid Pathology in Pre-dementia Alzheimer’s Disease Using QEEG Features and Genetic Algorithm Heuristic
Nam Heon Kim, Dong Won Yang, Seong Hye Choi, et al.
Frontiers in Computational Neuroscience (2021) Vol. 15
Open Access | Times Cited: 16
Evaluating the Use of Digital Biomarkers to Test Treatment Effects on Cognition and Movement in Patients with Lewy Body Dementia
Jian Wang, Chakib Battioui, Andrew McCarthy, et al.
Journal of Parkinson s Disease (2022) Vol. 12, Iss. 6, pp. 1991-2004
Open Access | Times Cited: 10
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