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Published on in Vol 7 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54655, first published .
Investigating Acoustic and Psycholinguistic Predictors of Cognitive Impairment in Older Adults: Modeling Study

Investigating Acoustic and Psycholinguistic Predictors of Cognitive Impairment in Older Adults: Modeling Study

Investigating Acoustic and Psycholinguistic Predictors of Cognitive Impairment in Older Adults: Modeling Study

Journals

  1. Shankar R, Bundele A, Mukhopadhyay A. A Systematic Review of Natural Language Processing Techniques for Early Detection of Cognitive Impairment. Mayo Clinic Proceedings: Digital Health 2025;3(2):100205 View
  2. McBride L, Badal V, Harvey P, Pinkham A, Aich A, Parde N, Depp C. Evaluating natural language processing derived linguistic features associated with current suicidal ideation, past attempts, and future suicidal behavior. Journal of Psychiatric Research 2025;187:25 View
  3. Badal V, Tran C, Brown H, Glorioso D, Daly R, Molina A, Moore A, Bilal E, Lee E, Depp C. Audio and linguistic prediction of objective and subjective cognition in older adults: what is the role of different prompts?. Frontiers in Psychiatry 2025;16 View
  4. Chen S, Tan Y, Hu W, Chen Y, Chen L, He Y, Yu W, Lü Y. A Machine Learning Framework for Cognitive Impairment Screening from Speech with Multimodal Large Models. Bioengineering 2026;13(1):73 View
  5. Espinoza C, Martella D. Assessment of Language Impairments Towards Identifying Markers for Early Diagnosis of Pathological Cognitive Decline. Behavioral Sciences 2026;16(3):345 View
  6. García A. Speech and language in healthy ageing and Alzheimer’s dementia. Nature Reviews Psychology 2026 View
  7. Badal V, Campbell L, Harvey P, Pinkham A, Moore R, Depp C. Speech Analysis from a Dyadic Interaction Social Skills Assessment Task in Mild Cognitive Impairment and Normal Cognition. The American Journal of Geriatric Psychiatry: Open Science, Education, and Practice 2026 View