{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T18:09:45Z","timestamp":1788286185393,"version":"build-2803163510"},"reference-count":8,"publisher":"SAGE Publications","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"name":"National Science Foundation"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Alzheimer's Disease Reports"],"published-print":{"date-parts":[[2025,1]]},"abstract":"<jats:p>The approval of disease-modifying treatments for Alzheimer's disease demands a rethinking of cognitive screening. Drawing on over 180 stakeholder interviews from the NSF National I-Corps program, this perspective highlights barriers in current workflows, from time constraints in primary care to learning effects in long-term care, and presents innovation pathways centered on AI and digital biomarkers. Speech analysis, in particular, offers a scalable and cost-effective screening tool aligned with existing CPT codes. We outline implementation strategies and emphasize the urgent opportunity to align technological innovation with frontline clinical needs to ensure advances translate into meaningful patient and provider benefit.<\/jats:p>","DOI":"10.1177\/25424823251395310","type":"journal-article","created":{"date-parts":[[2025,11,10]],"date-time":"2025-11-10T17:06:46Z","timestamp":1762794406000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":2,"title":["Reimagining dementia screening: A stakeholder-informed perspective on artificial intelligence, digital biomarkers, and real-world implementation"],"prefix":"10.1177","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-8584-6693","authenticated-orcid":false,"given":"Kevin","family":"Mekulu","sequence":"first","affiliation":[{"name":"Pennsylvania State University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Faisal","family":"Aqlan","sequence":"additional","affiliation":[{"name":"Center for Human Systems Engineering, University of Louisville"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hui","family":"Yang","sequence":"additional","affiliation":[{"name":"Pennsylvania State University"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2025,11,10]]},"reference":[{"key":"e_1_3_3_2_2","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa2212948"},{"key":"e_1_3_3_3_2","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2023.13239"},{"key":"e_1_3_3_4_2","doi-asserted-by":"publisher","DOI":"10.1186\/s13195-024-01637-y"},{"key":"e_1_3_3_5_2","doi-asserted-by":"publisher","DOI":"10.1001\/archneur.64.5.725"},{"key":"e_1_3_3_6_2","doi-asserted-by":"publisher","unstructured":"Mekulu K Aqlan F Yang H. Automated detection of early-stage dementia using large language models: a comparative study on narrative speech. medRxiv 2025; DOI: 10.1101\/2025.06.06.25329081 [Preprint]. Posted June 07 2025.","DOI":"10.1101\/2025.06.06.25329081"},{"key":"e_1_3_3_7_2","doi-asserted-by":"publisher","unstructured":"Mekulu K Aqlan F Yang H. A 60-second interpretable voice model for early dementia screening. medRxiv 2025; DOI: 10.1101\/2025.07.16.25331667 [Preprint]. Posted July 17 2025.","DOI":"10.1101\/2025.07.16.25331667"},{"key":"e_1_3_3_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.archger.2017.02.013"},{"key":"e_1_3_3_9_2","volume-title":"Electronic health records in diagnosis: a national academies report on improving diagnosis in healthcare","author":"Balogh EP","year":"2015","unstructured":"Balogh EP, Miller BT, Ball JR. Electronic health records in diagnosis: a national academies report on improving diagnosis in healthcare. Washington, DC: National Academies Press, 2015."}],"container-title":["Journal of Alzheimer's Disease Reports"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/25424823251395310","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.1177\/25424823251395310","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/25424823251395310","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,10]],"date-time":"2025-11-10T17:06:47Z","timestamp":1762794407000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.1177\/25424823251395310"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1]]},"references-count":8,"alternative-id":["10.1177\/25424823251395310"],"URL":"https:\/\/doi.org\/10.1177\/25424823251395310","relation":{},"ISSN":["2542-4823","2542-4823"],"issn-type":[{"value":"2542-4823","type":"print"},{"value":"2542-4823","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,1]]},"article-number":"25424823251395310"}}