Citing Article List

The joumal uses Crossref ited-by service counts times cited of published aricles. Citedby allows Crossref members to find out who is citing their conten. This is the Citing Article List of "“Identification of digital voice biomarkers for cognitive health”.

No.

Publication Date

Citing Article

1

2021

Larry Zhang, Anthony Ngo, Jason A. Thomas, Hannah A. Burkhardt, Carolyn M. Parsey, Rhoda Au, Reza Hosseini Ghomi. Neuropsychological test validation of speech markers of cognitive impairment in the Framingham Cognitive Aging Cohort, Exploration of Medicine. 2021; 2: 232.  https://doi.org/10.37349/emed.2021.00044

2

2024

Yu-Chun Lin, Huang-Ting Yan, Chih-Hsueh Lin, Hen-Hong Chang. Identifying and Estimating Frailty Phenotypes by Vocal Biomarkers: Cross-Sectional Study, Journal of Medical Internet Research. 2024; 26: e58466.  https://doi.org/10.2196/58466

3

2024

Jiho Lee, Nayeon Kim, Ji-Wan Ha, Kyunghun Kang, Eunhee Park, Janghyeok Yoon, Ki-Su Park. Exploring Voice Acoustic Features Associated with Cognitive Status in Korean Speakers: A Preliminary Machine Learning Study, Diagnostics. 2024; 14: 2837.  https://doi.org/10.3390/diagnostics14242837

4

,   https://doi.org/

5

2023

Mümüne Merve Parlak, Güleser Saylam, Mehmet Ali Babademez, Özlem Bizpınar Munis, Sibel Alicura Tokgöz. Voice analysis results in individuals with Alzheimer's disease: How do age and cognitive status affect voice parameters?, Brain and Behavior. 2023; 13: e3271.  https://doi.org/10.1002/brb3.3271

6

2024

Zhao Chen, Ning Liang, Haoyuan Li, Haili Zhang, Huizhen Li, Lijiao Yan, Ziteng Hu, Yaxin Chen, Yujing Zhang, Yanping Wang, Dandan Ke, Nannan Shi. Exploring explainable AI features in the vocal biomarkers of lung disease, Computers in Biology and Medicine. 2024; 179: 108844108844.  https://doi.org/10.1016/j.compbiomed.2024.108844

7

2022

David J. Libon, Rod Swenson, Melissa Lamar, Catherine C. Price, Ganesh Baliga, Alvaro Pascual-Leone, Rhoda Au, Stephanie Cosentino, Stacy L. Andersen, David Loewenstein. The Boston Process Approach and Digital Neuropsychological Assessment: Past Research and Future Directions, Journal of Alzheimer's Disease. 2022; 87: 1419.  https://doi.org/10.3233/JAD-220096

8

2023

Huitong Ding, Amiya Mandapati, Alexander P. Hamel, Cody Karjadi, Ting F.A. Ang, Weiming Xia, Rhoda Au, Honghuang Lin. Multimodal Machine Learning for 10-Year Dementia Risk Prediction: The Framingham Heart Study, Journal of Alzheimer’s Disease. 2023; 96: 277.  https://doi.org/10.3233/JAD-230496

9

2022

Elizabeth Mahon, Margie E. Lachman. Voice biomarkers as indicators of cognitive changes in middle and later adulthood, Neurobiology of Aging. 2022; 119: 22.  https://doi.org/10.1016/j.neurobiolaging.2022.06.010

10

2023

Alper Idrisoglu, Ana Luiza Dallora, Peter Anderberg, Johan Sanmartin Berglund. 2023;   https://doi.org/10.2196/preprints.46105

11

2024

Elizabeth Mahon, Margie E. Lachman. Voice biomarkers in middle and later adulthood as predictors of cognitive changes, Frontiers in Psychology. 2024; 15: 1422376.  https://doi.org/10.3389/fpsyg.2024.1422376

12

2024

Che Harris, Yingfei Tang, Eliana Birnbaum, Christine Cherian, Dinesh Mendhe, Michelle H Chen. Digital Neuropsychology beyond Computerized Cognitive Assessment: Applications of Novel Digital Technologies, Archives of Clinical Neuropsychology. 2024; 39: 290.  https://doi.org/10.1093/arclin/acae016

13

2023

Samad Amini, Boran Hao, Lifu Zhang, Mengting Song, Aman Gupta, Cody Karjadi, Vijaya B. Kolachalama, Rhoda Au, Ioannis Ch. Paschalidis. Automated detection of mild cognitive impairment and dementia from voice recordings: A natural language processing approach, Alzheimer's & Dementia. 2023; 19: 946.  https://doi.org/10.1002/alz.12721

14

2024

Yu-Chun Lin, Huang-Ting Yan, Chih-Hsueh Lin, Hen-Hong Chang. 2024;   https://doi.org/10.2196/preprints.58466

15

2024

Samad Amini, Boran Hao, Jingmei Yang, Cody Karjadi, Vijaya B. Kolachalama, Rhoda Au, Ioannis C. Paschalidis. Prediction of Alzheimer's disease progression within 6 years using speech: A novel approach leveraging language models, Alzheimer's & Dementia. 2024; 20: 5262.  https://doi.org/10.1002/alz.13886

16

2022

Felix Agbavor, Hualou Liang. Artificial Intelligence-Enabled End-To-End Detection and Assessment of Alzheimer’s Disease Using Voice, Brain Sciences. 2022; 13: 28.  https://doi.org/10.3390/brainsci13010028

17

2025

Mar Santamaria, Yiorgos Christakis, Charmaine Demanuele, Yao Zhang, Pirinka Georgiev Tuttle, Fahimeh Mamashli, Jiawei Bai, Rogier Landman, Kara Chappie, Stefan Kell, John G. Samuelsson, Kisha Talbert, Leonardo Seoane, W. Mark Roberts, Edmond Kato Kabagambe, Joseph Capelouto, Paul Wacnik, Jessica Selig, Lukas Adamowicz, Sheraz Khan, Robert J. Mather. Longitudinal voice monitoring in a decentralized Bring Your Own Device trial for respiratory illness detection, npj Digital Medicine. 2025; 8: 202.  https://doi.org/10.1038/s41746-025-01584-4

18

2024

Jean-Christophe Bélisle-Pipon, Maria Powell, Renee English, Marie-Françoise Malo, Vardit Ravitsky, Yael Bensoussan. Stakeholder perspectives on ethical and trustworthy voice AI in health care, DIGITAL HEALTH. 2024; 10: 20552076241260407.  https://doi.org/10.1177/20552076241260407

19

2024

Antonio Benítez‐Burraco, Olga Ivanova. Language in healthy and pathological ageing: Methodological milestones and challenges, International Journal of Language & Communication Disorders. 2024; 59: 4.  https://doi.org/10.1111/1460-6984.13003

20

2023

Alper Idrisoglu, Ana Luiza Dallora, Peter Anderberg, Johan Sanmartin Berglund. Applied Machine Learning Techniques to Diagnose Voice-Affecting Conditions and Disorders: Systematic Literature Review, Journal of Medical Internet Research. 2023; 25: e46105.  https://doi.org/10.2196/46105

21

2022

Theo Jaquenoud, Sam Keene, Neveen Shlayan, Alex Federman, Gaurav Pandey. 2022;   https://doi.org/10.1101/2022.11.29.22282914

22

2022

Huitong Ding, Amiya Mandapati, Cody Karjadi, Ting Fang Alvin Ang, Sophia Lu, Xiao Miao, James Glass, Rhoda Au, Honghuang Lin. Association Between Acoustic Features and Neuropsychological Test Performance in the Framingham Heart Study: Observational Study, Journal of Medical Internet Research. 2022; 24: e42886.  https://doi.org/10.2196/42886

23

2021

Jeffrey Kaye, P. Aisen, R. Amariglio, R. Au, C. Ballard, M. Carrillo, H. Fillit, T. Iwatsubo, G. Jimenez-Maggiora, S. Lovestone, F. Natanegara, K. Papp, M.E. Soto, M. Weiner, B. Vellas. Using Digital Tools to Advance Alzheimer's Drug Trials During a Pandemic: The EU/US CTAD Task Force, The Journal of Prevention of Alzheimer's Disease. 2021; 8: 513.  https://doi.org/10.14283/jpad.2021.36

24

2024

Farrukh Pervez, Moazzam Shoukat, Varsha Suresh, Muhammad Umar Bin Farooq, Moid Sandhu, Adnan Qayyum, Muhammad Usama, Anna Girardi, Siddique Latif, Junaid Qadir. Medicine's New Rhythm: Harnessing Acoustic Sensing via the Internet of Audio Things for Healthcare, IEEE Open Journal of the Computer Society. 2024; 5: 491.  https://doi.org/10.1109/OJCS.2024.3462812

25

2024

Russell Banks, Connor Higgins, Barry R. Greene, Ali Jannati, Joyce Gomes‐Osman, Sean Tobyne, David Bates, Alvaro Pascual‐Leone. Clinical classification of memory and cognitive impairment with multimodal digital biomarkers, Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring. 2024; 16: e12557.  https://doi.org/10.1002/dad2.12557

26

2023

Yael Rosen-Lang, Saad Zoubi, Ron Cialic, Tal Orenstein. Using voice biomarkers for frailty classification, GeroScience. 2023; 46: 1175.  https://doi.org/10.1007/s11357-023-00872-9

27

2024

Huitong Ding, Biqi Wang, Alexander P. Hamel, Cody Karjadi, Ting F. A. Ang, Rhoda Au, Honghuang Lin. Exploring cognitive progression subtypes in the Framingham Heart Study, Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring. 2024; 16: e12574.  https://doi.org/10.1002/dad2.12574