Cargando…
Enablers and Barriers to Deployment of Smartphone-Based Home Vision Monitoring in Clinical Practice Settings
IMPORTANCE: Telemedicine is accelerating the remote detection and monitoring of medical conditions, such as vision-threatening diseases. Meaningful deployment of smartphone apps for home vision monitoring should consider the barriers to patient uptake and engagement and address issues around digital...
Autores principales: | Korot, Edward, Pontikos, Nikolas, Drawnel, Faye M., Jaber, Aljazy, Fu, Dun Jack, Zhang, Gongyu, Miranda, Marco A., Liefers, Bart, Glinton, Sophie, Wagner, Siegfried K., Struyven, Robbert, Kilduff, Caroline, Moshfeghi, Darius M., Keane, Pearse A., Sim, Dawn A., Thomas, Peter B. M., Balaskas, Konstantinos |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Medical Association
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8678899/ https://www.ncbi.nlm.nih.gov/pubmed/34913967 http://dx.doi.org/10.1001/jamaophthalmol.2021.5269 |
Ejemplares similares
-
Evaluating the Effects of C3 Inhibition on Geographic Atrophy Progression from Deep-Learning OCT Quantification: A Split-Person Study
por: Fu, Dun Jack, et al.
Publicado: (2023) -
Evaluating an automated machine learning model that predicts visual acuity outcomes in patients with neovascular age-related macular degeneration
por: Abbas, Abdallah, et al.
Publicado: (2022) -
Predicting sex from retinal fundus photographs using automated deep learning
por: Korot, Edward, et al.
Publicado: (2021) -
Prediction of visual function from automatically quantified optical coherence tomography biomarkers in patients with geographic atrophy using machine learning
por: Balaskas, Konstantinos, et al.
Publicado: (2022) -
Development and international validation of custom-engineered and code-free deep-learning models for detection of plus disease in retinopathy of prematurity: a retrospective study
por: Wagner, Siegfried K, et al.
Publicado: (2023)