ArticleJournal of visualized experiments : JoVE2017
Smartphone Fundus Photography.
Article in Journal of visualized experiments : JoVE, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
28 citing papers in PubMed, 49 citations in OpenAlex.
- Development of a smartphone-based retinal imaging device for stable fundus imaging.Japanese journal of ophthalmology · 2026Article
- Diagnostic Likelihood Ratios for Glaucoma Using Deep Learning-Predicted Retinal Nerve Fiber Layer Thickness from Fundus Photographs.Ophthalmology science · 2026Article
- Transforming Fundus Photography for Deep Learning-Based Anemia Screening.Journal of clinical medicine · 2026Article
- Comparative Evaluation of Smartphone-Based Fundus Imaging Systems in Dogs and Cats.Veterinary ophthalmology · 2026Article
- Exploring AI's Potential in Papilledema Diagnosis to Support Dermatological Treatment Decisions in Rural Healthcare.Diagnostics (Basel, Switzerland) · 2025Article
- Clinical Applications and Future Directions of Smartphone Fundus Imaging.Diagnostics (Basel, Switzerland) · 2024Review
- DDLSNet: A Novel Deep Learning-Based System for Grading Funduscopic Images for Glaucomatous Damage.Ophthalmology science · 2023Article
- RimNet: A Deep Neural Network Pipeline for Automated Identification of the Optic Disc Rim.Ophthalmology science · 2023Article
- Investigating the light emitting diode (LED) flashlight characteristics of a sample of smartphones for its safety in indirect retinal photography.The Pan African medical journal · 2022Article
- A Case of Cat Scratch Disease with Neuroretinitis in a 16-Month-Old Boy.Case reports in ophthalmological medicine · 2022Article
- The Development and Clinical Application of Innovative Optical Ophthalmic Imaging Techniques.Frontiers in medicine · 2022Review
- Article
- Imaging Modalities Employed in Diabetic Retinopathy Screening: A Review and Meta-Analysis.Diagnostics (Basel, Switzerland) · 2021Review
- Interactive Blood Vessel Segmentation from Retinal Fundus Image Based on Canny Edge Detector.Sensors (Basel, Switzerland) · 2021Article
- Using smartphones for documenting bedside retinal findings during COVID-19 times.BMJ case reports · 2021Article
- Smartphone fundus photography: a narrative review.International journal of retina and vitreous · 2021Review
- Telemedicine in Neurosurgery: Standardizing the Spinal Physical Examination Using A Modified Delphi Method.Neurospine · 2021Article
- Predicting Glaucoma Development With Longitudinal Deep Learning Predictions From Fundus Photographs.American journal of ophthalmology · 2021Article
- Use of three-dimensional printing for adapting and optimizing smartphone ophthalmoscopy to existing SD-OCT instrumentation for rodent and teleost ocular research.Molecular vision · 2021Article
- Automatic Identification of Referral-Warranted Diabetic Retinopathy Using Deep Learning on Mobile Phone Images.Translational vision science & technology · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Smartphone fundus photography is a simple technique to obtain ocular fundus pictures using a smartphone camera and a conventional handheld indirect ophthalmoscopy lens. This technique is indispensable when picture documentation of optic nerve, retina, and retinal vessels is necessary but a fundus camera is not available. The main advantage of this technique is the widespread availability of smartphones that allows documentation of macula and optic nerve changes in many settings that was not previously possible. Following the well-defined steps detailed here, such as proper alignment of the phone camera, handheld lens, and the patient's pupil, is the key for obtaining a clear retina picture with no interfering light reflections and aberrations. In this paper, the optical principles of indirect ophthalmoscopy and fundus photography will be reviewed first. Then, the step-by-step method to record a good quality retinal image using a smartphone will be explained.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.