{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,24]],"date-time":"2026-07-24T15:37:25Z","timestamp":1784907445006,"version":"3.55.0"},"reference-count":6,"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-nc\/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":"NSF"}],"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>Conventional dementia screening tools, whether paper tests or static artificial intelligence (AI) models, capture only a snapshot of cognition and need to be adminstered periodically. Yet decline is dynamic, shaped by environment, comorbidities, and life history. Current approaches rarely adapt, integrate feedback, or provide transparent reasoning that clinicians can trust. We propose agentic AI systems: modular agents built on large language models (LLMs) that collaborate, adapt, and mirror interdisciplinary care. The Cognitive Agent Lab exemplifies this framework, emphasizing functional aspects (inputs, outputs, workflows) and non-functional aspects (transparency, adaptivity, robustness, clinical alignment). Embedding reasoning and collaboration, agentic AI offers a roadmap toward more personalized and explainable cognitive health tools.<\/jats:p>","DOI":"10.1177\/25424823251407989","type":"journal-article","created":{"date-parts":[[2025,12,11]],"date-time":"2025-12-11T16:48:18Z","timestamp":1765471698000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":2,"title":["Agentic artificial intelligence in cognitive screening: A translational roadmap for dementia care"],"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":"University of Louisville"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5997-6823","authenticated-orcid":false,"given":"Hui","family":"Yang","sequence":"additional","affiliation":[{"name":"Pennsylvania State University"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2025,12,11]]},"reference":[{"key":"e_1_3_3_2_2","first-page":"112","article-title":"Culture and cognition: a systematic review of cognitive screening tools and their cultural bias","volume":"24","author":"Chithiramohan R","year":"2024","unstructured":"Chithiramohan R, Yagoub MC, Hancock P. Culture and cognition: a systematic review of cognitive screening tools and their cultural bias. BMC Geriatr 2024; 24: 112.","journal-title":"BMC Geriatr"},{"key":"e_1_3_3_3_2","doi-asserted-by":"publisher","DOI":"10.12740\/PP\/45368"},{"key":"e_1_3_3_4_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_5_2","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-025-09442-9"},{"key":"e_1_3_3_6_2","unstructured":"Neupane S Mitra S Mittal S et al. Towards a HIPAA compliant agentic AI system in healthcare. arXiv 2025; arXiv:2504.17669."},{"key":"e_1_3_3_7_2","unstructured":"Tian J Wang L Fard P et al. An agentic AI workflow for detecting cognitive concerns in real-world data. arXiv 2025; arXiv:2502.01789."}],"container-title":["Journal of Alzheimer's Disease Reports"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/25424823251407989","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.1177\/25424823251407989","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/25424823251407989","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,11]],"date-time":"2025-12-11T16:48:19Z","timestamp":1765471699000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.1177\/25424823251407989"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1]]},"references-count":6,"alternative-id":["10.1177\/25424823251407989"],"URL":"https:\/\/doi.org\/10.1177\/25424823251407989","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":"25424823251407989"}}