Published on in Vol 7 (2023)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/45355, first published
.
Journals
- Vuong C, Utkarsh K, Stojancic R, Subramaniam A, Fernandez O, Banerjee T, Abrams D, Fijnvandraat K, Shah N. Use of consumer wearables to monitor and predict pain in patients with sickle cell disease. Frontiers in Digital Health 2023;5 View
- Hui R, Fan P, Aloweni F, Ang S. Wearable Devices for Vital Sign Monitoring in Hematology and Oncology Patients: An Integrative Review of Implementation Barriers and Detection Performance. American Medical Journal Oncology 2024:60 View
- Köhler C, Bartschke A, Fürstenau D, Schaaf T, Salgado-Baez E. The Value of Smartwatches in the Health Care Sector for Monitoring, Nudging, and Predicting: Viewpoint on 25 Years of Research. Journal of Medical Internet Research 2024;26:e58936 View
- Antel R, Whitelaw S, Gore G, Ingelmo P. Moving towards the use of artificial intelligence in pain management. European Journal of Pain 2025;29(3) View
Books/Policy Documents
- Islam R, Tanweer S, Nafis M, Hussain I, Ahmad O. Proceedings of 4th International Conference on ICT for Digital, Smart, and Sustainable Development. View
Conference Proceedings
- Uvaliyeva I, Belginova S, Borozenets D. 2023 7th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT). Analysis of the Machine Learning Methods Effectiveness for Morphological Classification of Anemia View