Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46659, first published .
Automated Diet Capture Using Voice Alerts and Speech Recognition on Smartphones: Pilot Usability and Acceptability Study

Automated Diet Capture Using Voice Alerts and Speech Recognition on Smartphones: Pilot Usability and Acceptability Study

Automated Diet Capture Using Voice Alerts and Speech Recognition on Smartphones: Pilot Usability and Acceptability Study

Journals

  1. Choi S, Seo J, Hernandez M, Kitsiou S. Conversational agents in mHealth: use patterns, challenges, and design opportunities for individuals with visual impairments. Journal of Technology in Behavioral Science 2024;9(4):912 View
  2. Chikwetu L, Vakili P, Takais A, Younes R. Central Hemodynamic and Thermoregulatory Responses to Food Intake as Potential Biomarkers for Eating Detection: Systematic Review. Interactive Journal of Medical Research 2024;13:e52167 View
  3. Arigo D, Jake-Schoffman D, Pagoto S. The recent history and near future of digital health in the field of behavioral medicine: an update on progress from 2019 to 2024. Journal of Behavioral Medicine 2025;48(1):120 View
  4. Alnooh G, AlTamimi J, Williams E, Hawley M. An Investigation of the Feasibility and Acceptability of Using a Commercial DASH (Dietary Approaches to Stop Hypertension) App in People With High Blood Pressure: Mixed Methods Study. JMIR Formative Research 2024;8:e60037 View
  5. Ahn J, Kim B. Application of Generative Artificial Intelligence in Dyslipidemia Care. Journal of Lipid and Atherosclerosis 2025;14(1):77 View