{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T04:35:06Z","timestamp":1787027706642,"version":"build-2736575974"},"reference-count":26,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2025,1,17]],"date-time":"2025-01-17T00:00:00Z","timestamp":1737072000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Institutes of Health","award":["R43AG078063"],"award-info":[{"award-number":["R43AG078063"]}]},{"name":"National Institutes of Health","award":["R01AG057708"],"award-info":[{"award-number":["R01AG057708"]}]},{"name":"National Institute of Aging","award":["R43AG078063"],"award-info":[{"award-number":["R43AG078063"]}]},{"name":"National Institute of Aging","award":["R01AG057708"],"award-info":[{"award-number":["R01AG057708"]}]},{"name":"Wear Tech Center, Partnership for Economic Innovation, Arizona Commerce Authority","award":["R43AG078063"],"award-info":[{"award-number":["R43AG078063"]}]},{"name":"Wear Tech Center, Partnership for Economic Innovation, Arizona Commerce Authority","award":["R01AG057708"],"award-info":[{"award-number":["R01AG057708"]}]},{"name":"Palumbo Charitable Thrust","award":["R43AG078063"],"award-info":[{"award-number":["R43AG078063"]}]},{"name":"Palumbo Charitable Thrust","award":["R01AG057708"],"award-info":[{"award-number":["R01AG057708"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Bioengineering"],"abstract":"<jats:p>Alzheimer\u2019s disease (AD) represents a significant global health issue, affecting over 55 million individuals worldwide, with a progressive impact on cognitive and functional abilities. Early detection, particularly of mild cognitive impairment (MCI) as an indicator of potential AD onset, is crucial yet challenging, given the limitations of current diagnostic biomarkers and the need for non-invasive, accessible tools. This study aims to address these gaps by exploring driving performance as a novel, non-invasive biomarker for MCI detection. Using the LiveDrive AI system, equipped with multimodal sensing (MMS) technology and a driving performance assessment strategy, the proposed work analyzes the predictive capacity of driving patterns in indicating cognitive decline. Machine learning models, trained on an expert-annotated in-house dataset, were employed to detect MCI status from driving performance. Key findings demonstrate the feasibility of using nuanced driving features, such as velocity and acceleration during turning, as indicators of cognitive decline. This approach holds promise for integration into smartphone or car applications, enabling real-time, continuous cognitive health monitoring. The implications of this work suggest a transformative step towards scalable, real-world solutions for early AD diagnosis, with the potential to improve patient outcomes and disease management.<\/jats:p>","DOI":"10.3390\/bioengineering12010086","type":"journal-article","created":{"date-parts":[[2025,1,21]],"date-time":"2025-01-21T06:53:32Z","timestamp":1737442412000},"page":"86","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["LiveDrive AI: A Pilot Study of a Machine Learning-Powered Diagnostic System for Real-Time, Non-Invasive Detection of Mild Cognitive Impairment"],"prefix":"10.3390","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3083-1775","authenticated-orcid":false,"given":"Firas","family":"Al-Hindawi","sequence":"first","affiliation":[{"name":"School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ 85281, USA"},{"name":"ASU Mayo Center for Innovative Imaging, Arizona State University, Tempe, AZ 85281, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peter","family":"Serhan","sequence":"additional","affiliation":[{"name":"School of Electrical, Computer and Energy Engineering, Tempe, AZ 85281, USA"},{"name":"Center for Bioelectronics and Biosensors, Biodesign Institute, Arizona State University, 1001 S McAllister Ave, Tempe, AZ 85281, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yonas E.","family":"Geda","sequence":"additional","affiliation":[{"name":"Barrow Neurological Institute, 2910 N 3rd Ave, Phoenix, AZ 85013, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Francis","family":"Tsow","sequence":"additional","affiliation":[{"name":"TF Health Corporation (DBA Breezing Co.), 6161 E. 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