This paper is in the following e-collection/theme issue:

Frailty Detection, Assessment and Prediction (49) Mental Health Issues in Elderly Patients and Geriatric Psychiatry (125) Artificial Intelligence (1854) Longitudinal and Cohort Studies in Public Health (370) Prevention and Health Promotion (1174) Machine Learning (1839) Dementia and Cognitive Decline (619)

Published on in Vol 7 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50537, first published .
Automatic Spontaneous Speech Analysis for the Detection of Cognitive Functional Decline in Older Adults: Multilanguage Cross-Sectional Study

Automatic Spontaneous Speech Analysis for the Detection of Cognitive Functional Decline in Older Adults: Multilanguage Cross-Sectional Study

Automatic Spontaneous Speech Analysis for the Detection of Cognitive Functional Decline in Older Adults: Multilanguage Cross-Sectional Study

Authors of this article:

Emilia Ambrosini1 Author Orcid Image ;   Chiara Giangregorio1 Author Orcid Image ;   Eugenio Lomurno1 Author Orcid Image ;   Sara Moccia2 Author Orcid Image ;   Marios Milis3 Author Orcid Image ;   Christos Loizou4 Author Orcid Image ;   Domenico Azzolino5 Author Orcid Image ;   Matteo Cesari6 Author Orcid Image ;   Manuel Cid Gala7 Author Orcid Image ;   Carmen Galán de Isla7 Author Orcid Image ;   Jonathan Gomez-Raja7 Author Orcid Image ;   Nunzio Alberto Borghese8 Author Orcid Image ;   Matteo Matteucci1 Author Orcid Image ;   Simona Ferrante1, 9 Author Orcid Image
Article Authors Cited by (8) Tweetations (9) Metrics

Journals

  1. Orozco-Chavez I, Martínez-Estrada M, Itzá-Ortiz B. An automatic Alzheimer’s disease classifier based on reading task for Spanish language. The European Physical Journal Special Topics 2025;234(1):85 View
  2. Park K, Yang B, Park M, Kim S. Differences in Speech Characteristics among Frail, Pre-Frail, and Robust Older Adults in Korea. Journal of Musculoskeletal Science and Technology 2024;8(2):134 View
  3. Kim T, Choi J, Ko M, Kim K. Development and Validation of a Machine Learning Method Using Vocal Biomarkers for Identifying Frailty in Community-Dwelling Older Adults: Cross-Sectional Study. JMIR Medical Informatics 2025;13:e57298 View
  4. Qi W, Zhu X, Wang B, Shi Y, Dong C, Shen S, Li J, Zhang K, He Y, Zhao M, Yao S, Dong Y, Shen H, Kang J, Lu X, Jiang G, Boots L, Fu H, Pan L, Chen H, Yan Z, Xing G, Cao S. Alzheimer’s disease digital biomarkers multidimensional landscape and AI model scoping review. npj Digital Medicine 2025;8(1) View
  5. Cornacchia E, Bonvino A, Scaramuzzi G, Gasparre D, Simeoli R, Marocco D, Taurisano P. Digital Screening for Early Identification of Cognitive Impairment: A Narrative Review. WIREs Cognitive Science 2025;16(4) View
  6. Verma A, Arun N, Choudhary A, Ansari M. Cognitive recovery assessment in patients after desflurane versus sevoflurane-based general anaesthesia: A randomised, comparative, double-blinded study. Indian Journal of Anaesthesia 2025;69(8):801 View
  7. Igarashi T, Iijima K, Nitta K, Chen Y. Correct/Incorrect Analysis of Responses When Estimating the Cognitive Function of Spontaneous Language in the Elderly. IEEE Access 2025;13:121378 View
  8. Li Q, Koehler S, Koenig A, Dyrba M, Mallik E, Linz N, Priller J, Spruth E, Altenstein S, Wiltfang J, Zerr I, Bartels C, Maier F, Rostamzadeh A, Duezel E, Glanz W, Incesoy E, Butryn M, Laske C, Sodenkamp S, Munk M, Falkenburger B, Osterrath A, Kilimann I, Stark M, Kleineidam L, Heneka M, Spottke A, Wagner M, Jessen F, Petzold G, Levin F, Teipel S. Associations between digital speech features of automated cognitive tasks and trajectories of brain atrophy and cognitive decline in early Alzheimer's disease. Journal of Alzheimer’s Disease 2025 View