Published on in Vol 5, No 4 (2022): Oct-Dec
![Enhancing Food Intake Tracking in Long-term Care With Automated Food Imaging and Nutrient Intake Tracking (AFINI-T) Technology: Validation and Feasibility Assessment Enhancing Food Intake Tracking in Long-term Care With Automated Food Imaging and Nutrient Intake Tracking (AFINI-T) Technology: Validation and Feasibility Assessment](https://asset.jmir.pub/assets/39b331bbcf64f0e0fd2cc8bcab6de750.png 480w,https://asset.jmir.pub/assets/39b331bbcf64f0e0fd2cc8bcab6de750.png 960w,https://asset.jmir.pub/assets/39b331bbcf64f0e0fd2cc8bcab6de750.png 1920w,https://asset.jmir.pub/assets/39b331bbcf64f0e0fd2cc8bcab6de750.png 2500w)
1 Department of Systems Design Engineering, University of Waterloo, Waterloo, ON, Canada
2 Waterloo AI Institute, Waterloo, ON, Canada
3 Schlegel-University of Waterloo Institute for Aging, Waterloo, ON, Canada
4 Centre for Digital Therapeutics, Techna Institute, University Health Network, Toronto, ON, Canada
5 KITE-Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada
6 Department of Kinesiology and Health Sciences, University of Waterloo, Waterloo, ON, Canada
*these authors contributed equally