Published on in Vol 21, No 6 (2019): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13594, first published .
Feasibility of a Real-Time Clinical Augmented Reality and Artificial Intelligence Framework for Pain Detection and Localization From the Brain

Feasibility of a Real-Time Clinical Augmented Reality and Artificial Intelligence Framework for Pain Detection and Localization From the Brain

Feasibility of a Real-Time Clinical Augmented Reality and Artificial Intelligence Framework for Pain Detection and Localization From the Brain

Xiao-Su Hu   1, 2 , MSc, PhD ;   Thiago D. Nascimento   1 , DDS, MS ;   Mary C Bender   1 , BS ;   Theodore Hall   3 , PhD ;   Sean Petty   3 , BS ;   Stephanie O’Malley   3 , BFA ;   Roger P Ellwood   4 , PhD ;   Niko Kaciroti   1, 2, 5 , PhD ;   Eric Maslowski   6 , BS ;   Alexandre F DaSilva   1, 2 , DDS, DMedSc

1 Headache & Orofacial Pain Effort Lab, Biologic & Materials Sciences Department, School of Dentistry, University of Michigan, Ann Arbor, MI, United States

2 Center for Human Growth and Development, University of Michigan, Ann Arbor, MI, United States

3 3D Lab, Digital Media Commons, University of Michigan, Ann Arbor, MI, United States

4 Clinical Method Development, Colgate Palmolive, Piscataway, NJ, United States

5 Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, United States

6 Moxytech Inc, Ann Arbor, MI, United States

Corresponding Author:

  • Alexandre F DaSilva, DDS, DMedSc
  • Headache & Orofacial Pain Effort Lab, Biologic & Materials Sciences Department
  • School of Dentistry
  • University of Michigan
  • 1011 N University Ave
  • Ann Arbor, MI, 48109-1078
  • United States
  • Phone: 1 734 615 3807
  • Email: adasilva@umich.edu