Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/80405, first published .
Assessing the Impact of Sociodemographic Factors on Artificial Intelligence Models in Predicting Dementia: Retrospective Cohort Study

Assessing the Impact of Sociodemographic Factors on Artificial Intelligence Models in Predicting Dementia: Retrospective Cohort Study

Assessing the Impact of Sociodemographic Factors on Artificial Intelligence Models in Predicting Dementia: Retrospective Cohort Study

Xingyi Liu   1 , PhD ;   Muskan Garg   1 , PhD ;   Maria Vassilaki   2 , MD, PhD ;   Jennifer St Sauver   2 , PhD ;   Ronald C Petersen   3 , MD, PhD ;   Momin M Malik   4 , PhD ;   Chung Il Wi   4 , MD ;   Young J Juhn   4 , MD, PhD ;   Sunghwan Sohn   1 , PhD

1 Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, MN, United States

2 Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, United States

3 Department of Neurology, Mayo Clinic, Rochester, MN, United States

4 Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, MN, United States

Corresponding Author:

  • Sunghwan Sohn, PhD
  • Department of Artificial Intelligence and Informatics
  • Mayo Clinic
  • Harwick Building, 7th Fl., 205 3rd Ave SW
  • Rochester, MN 55905
  • United States
  • Phone: 1 507-266-0376
  • Email: sohn.sunghwan@mayo.edu