2022, Number 2
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Rev Cub Oftal 2022; 35 (2)
Smart phone in Ophthalmology
Rodríguez RBN
Language: Spanish
References: 8
Page: 1-3
PDF size: 230.93 Kb.
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REFERENCES
Schwab K. La Cuarta Revolución Industrial. Editorial Grupo Penguin Randon House. Barcelona. 2016 [acceso 15/01/2022]. Disponible en: http://40.70.207.114/documentosV2/La%20cuarta%20revolucion%20industrial-Klaus%20Schwab%20(1).pdf1.
Organización Panamericana de la Salud. Marco de Implementación de un Servicio de Telemedicina. Washington, DC: OPS. 2016 [acceso 15/01/2022]. Disponible en: https://iris.paho.org/bitstream/handle/10665.2/28413/9789275319031_spa.pdf?sequence=62.
Macana Castro TA, Quintero Guzmán MF, Acuña Gómez JS, Jiménez Barbosa WG. Aplicaciones móviles de salud con respaldo en publicaciones científicas, para la mejora en el ejercicio de la optometría y la oftalmología. Cienc Tecnol Salud Vis Ocul. 2019;17(2):52-63. DOI: 10.19052/sv.vol17.iss2.6
Hogarty DT, Hogarty JP, Hewitt AW, Smartphone use in ophthalmology: what is their place in clinical practice? Survey of Ophthalmology. 2019. DOI: https://doi.org/10.1016/j.survophthal.2019.09.0014.
Myung D, Jais A, He L, Chang R. Simple, low-cost smartphone adapter for rapid, high quality ocular anterior segment imaging: a photo diary. J Mob Tech Med. 2014;3(1):2-8. DOI: 10.7309/jmtm.3.1.2
Ludwig CA, Newsom MR, Jais A, Myung DJ, Murphy SI, Chang RT. Training time and quality of smartphone-based anterior segment screening in rural India. Clinical Ophthalmology. 2017;11:1301-07. DOI: 10.2147/OPTH.S134656
Choonara YE, du Toit LC, Kumar P, Kondiah PPD, Pillay V. 3D-printing and the effect on medical costs: a new era? Expert Rev Pharmacoecon Outcomes Res. 2016;16(1):23-32. DOI: 10.1586/14737167.2016.1138860
Alyoubi WL, Shalash WM, Abulkhair MF. Diabetic retinopathy detection through deep learning techniques: A review. Informatics in Medicine Unlocked. 2020;20:1-11. DOI: 10.1016/j.imu.2020.100377
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