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The study design was evaluated on the neuropsychological test interviews of\n                      <jats:italic>n<\/jats:italic>\n                      \u00a0=\u00a0166 participants from the Framingham Heart Study, comprising 90 progressive MCI and 76 stable MCI cases.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>RESULTS<\/jats:title>\n                    <jats:p>Our best models, which used features generated from speech data, as well as age, sex, and education level, achieved an accuracy of 78.5% and a sensitivity of 81.1% to predict MCI\u2010to\u2010AD progression within 6 years.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>DISCUSSION<\/jats:title>\n                    <jats:p>The proposed method offers a fully automated procedure, providing an opportunity to develop an inexpensive, broadly accessible, and easy\u2010to\u2010administer screening tool for MCI\u2010to\u2010AD progression prediction, facilitating development of remote assessment.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Highlights<\/jats:title>\n                    <jats:p>\n                      <jats:list list-type=\"bullet\">\n                        <jats:list-item>\n                          <jats:p>Voice recordings from neuropsychological exams coupled with basic demographics can lead to strong predictive models of progression to dementia from mild cognitive impairment.<\/jats:p>\n                        <\/jats:list-item>\n                        <jats:list-item>\n                          <jats:p>The study leveraged AI methods for speech recognition and processed the resulting text using language models.<\/jats:p>\n                        <\/jats:list-item>\n                        <jats:list-item>\n                          <jats:p>The developed AI\u2010powered pipeline can lead to fully automated assessment that could enable remote and cost\u2010effective screening and prognosis for Alzehimer's disease.<\/jats:p>\n                        <\/jats:list-item>\n                      <\/jats:list>\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/alz.13886","type":"journal-article","created":{"date-parts":[[2024,6,25]],"date-time":"2024-06-25T07:01:38Z","timestamp":1719298898000},"page":"5262-5270","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":73,"title":["Prediction of Alzheimer's disease progression within 6 years using speech: A novel approach leveraging language models"],"prefix":"10.1002","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2063-6220","authenticated-orcid":false,"given":"Samad","family":"Amini","sequence":"first","affiliation":[{"name":"Department of Electrical &amp; 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