About The Study: In this diagnostic study, machine learning models trained on acoustic features from brief clinical conversations identified cognitive impairment with high accuracy. These findings support the feasibility of passive, speech-based screening during routine primary care.
Corresponding Author: To contact the corresponding author, Joseph T. Colonel, PhD, email joseph.colonel@mssm.edu .
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(doi:10.1001/jamaneurol.2026.1868)
Editor’s Note: Please see the article for additional information, including other authors, author contributions and affiliations, conflict of interest and financial disclosures, and funding and support.
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JAMA Neurology