Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/83622, first published .
Leveraging Naturalistic Driving Digital Biomarkers for Early Mild Cognitive Impairment Detection: Deep Learning Strategies

Leveraging Naturalistic Driving Digital Biomarkers for Early Mild Cognitive Impairment Detection: Deep Learning Strategies

Leveraging Naturalistic Driving Digital Biomarkers for Early Mild Cognitive Impairment Detection: Deep Learning Strategies

Firas Al-Hindawi   1, 2 , PhD ;   Teresa Wu   3, 4 , PhD ;   Yutong Wen   3, 4 , MSc ;   Peter Serhan   5, 6 , MS ;   Erica Forzani   6, 7 , PhD ;   Francis Tsow   8 , PhD ;   Yonas E Geda   9 , MSc, MD

1 Industrial & Systems Engineering Department, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia

2 Interdisciplinary Research Center for Smart Mobility and Logistics, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia

3 School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, United States

4 ASU Mayo Center for Innovative Imaging, Arizona State University, Tempe, AZ, United States

5 School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, United States

6 Center for Bioelectronics and Biosensors, Biodesign Institute, Arizona State University, Tempe, AZ, United States

7 School of Engineering for Matter, Transport and Energy, Arizona State University, Tempe, AZ, United States

8 TF Health Corporation, Phoenix, AZ, United States

9 Barrow Neurological Institute, Phoenix, AZ, United States

Corresponding Author:

  • Teresa Wu, PhD
  • School of Computing and Augmented Intelligence
  • Arizona State University
  • Tempe
  • 699 S. Mill Ave.
  • Tempe, AZ 85281
  • United States
  • Phone: 1 4809655172
  • Email: teresa.wu@asu.edu