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Self\u2010administered digital cognitive assessments (SA\u2010DCAs) offer scalable approaches for early detection, yet their real\u2010world validation and clinical readiness remain uncertain. We developed a use\u2010case\u2013specific framework to evaluate SA\u2010DCAs intended for community and primary\u2010care MCI screening and applied it to a comprehensive scoping review of published evidence (2012\u20102025). Among 79 identified SA\u2010DCAs, only four tools met predefined framework criteria across nine eligible studies.\u00a0Common limitations included restricted population representativeness, inconsistent diagnostic performance reporting, limited biomarker anchoring, and reliance on prefiltered cohorts. Overall, the current evidence base is methodologically heterogeneous and incomplete for clinical deployment. The proposed framework characterizes requirements including anchoring strength, prevalence\u2010adjusted performance reporting, and representative sampling establishing a foundation for advancing robust real\u2010world evidence needed to translate SA\u2010DCAs from research to clinical practice.<\/jats:p>","DOI":"10.1002\/alz.71559","type":"journal-article","created":{"date-parts":[[2026,7,31]],"date-time":"2026-07-31T08:52:16Z","timestamp":1785487936000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Evaluating digital cognitive tests for clinical use in Alzheimer's disease: A novel framework and scoping review"],"prefix":"10.1002","volume":"22","author":[{"given":"Harald","family":"Hampel","sequence":"first","affiliation":[{"name":"Eisai, Inc  Nutley New Jersey USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yosuke","family":"Nakamura","sequence":"additional","affiliation":[{"name":"Eisai, 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