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Journal of Medical Engineering & Technology Volume 41, 2017 - Issue 3
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Innovation

Safety of iPhone retinal photography

Sheng Chiong HongDunedin Hospital, Dunedin, New Zealand; Correspondence[email protected]
,
Giles Wynn-WilliamsDunedin Hospital, Dunedin, New Zealand;
&
Graham WilsonGisborne Hospital, Gisborne, New Zealand
Pages 165-169 | Received 11 Jun 2016, Accepted 30 Oct 2016, Published online: 07 Dec 2016

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Manuel AP Vilela, Felipe M Valença, Pedro KM Barreto, Carlos EV Amaral & Lúcia C Pellanda. (2018) Agreement between retinal images obtained via smartphones and images obtained with retinal cameras or fundoscopic exams – systematic review and meta-analysis. Clinical Ophthalmology 12, pages 2581-2589.
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Articles from other publishers (9)

Omar Solyman, Amr Aref, Ahmed S Abo Obaia, Hesham F Kamel & Ahmed Al-Muhaylib. (2022) An All-Digital, Binocular, Indirect Virtual Video Ophthalmoscope: A Novel Approach to Retinal Examination and Photography. Clinical Ophthalmology Volume 16, pages 3905-3909.
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DeependraVikram Singh, Sandhya Gaur, RajaRami Reddy, Ajay Sharma & YogRaj Sharma. (2022) Virtual-reality headset mounted smartphone-based Indentation fundus videography. Taiwan Journal of Ophthalmology 12:4, pages 462.
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Usama Iqbal. (2021) Smartphone fundus photography: a narrative review. International Journal of Retina and Vitreous 7:1.
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Andrew E. Neice, Cedar Fowler, Richard A. Jaffe & John G. Brock-Utne. (2020) Feasibility study of a smartphone pupillometer and evaluation of its accuracy. Journal of Clinical Monitoring and Computing 35:6, pages 1269-1277.
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Luz Consuelo Zepeda-Romero, Jose Alfonso Gutierrez Padilla, Daniel Perez-Rulfo Ibarra, Jaime Orozco-Perez, Rodrigo Alonso Delgadillo, Lilia Paulina Rodríguez & Guillermo Yanowsky-Reyes. (2020) Diagnostic Images of the Ocular Fundus Using a Low-Cost Portable Endoscope in Premature Patients at Risk of Developing Retinopathy of Prematurity. Journal of Ophthalmology 2020, pages 1-6.
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Huy V. Nguyen, Tatsuo Nagata & Shizuo Mukai. (2020) Inexpensive and Open-Source Devices and Systems for Retinal Imaging. International Ophthalmology Clinics 60:1, pages 35-45.
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Tapan P. Patel, Tyson N. Kim, Gina Yu, Vaidehi S. Dedania, Philip Lieu, Cynthia X. Qian, Cagri G. Besirli, Hakan Demirci, Todd Margolis, Daniel A. Fletcher & Yannis M. Paulus. (2019) Smartphone-Based, Rapid, Wide-Field Fundus Photography for Diagnosis of Pediatric Retinal Diseases. Translational Vision Science & Technology 8:3, pages 29.
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Mohamed Akil & Yaroub Elloumi. (2019) Detection of retinal abnormalities using smartphone-captured fundus images: a survey. Detection of retinal abnormalities using smartphone-captured fundus images: a survey.
Davide Maria Calandra, Sergio Di Martino, Daniel Riccio & Antonio Visconti. 2017. Image Analysis and Processing - ICIAP 2017. Image Analysis and Processing - ICIAP 2017 433 443 .

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