This research demonstrates deep learning strategies to detect cognitive decline in drivers, suggesting a new method for early MCI identification.
Naturalistic driving behavior offers a scalable and noninvasive approach for early cognitive screening. Deep learning models using full-trip naturalistic driving data show promise for detecting MCI, with fusion strategies providing supplementary insights. This framework supports proactive, real-world monitoring of cognitive decline, laying the foundation for digital health interventions in dementia prevention.
No takes yet. Share an insight, caveat, or question.
Al-Hindawi et al. (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: