Clinical evidence
Our eye screening technology has been widely studied by several research groups around the world. Find links to these studies here.
Diabetic Eye Disease
Several peer-reviewed studies confirm the diagnostic reliability and accuracy of Optomed handheld fundus camera image quality in detecting any diabetic retinopathy.
Clinical Studies
- Comparison of handheld retinal imaging with ETDRS 7-standard field photography for diabetic retinopathy and diabetic macular edema
- Handheld Fundus Camera for Diabetic Retinopathy Screening – A Comparison Study with Table-Top Fundus Camera in Real-Life Setting
- Handheld fundus camera performance, image quality and outcomes of diabetic retinopathy grading in a pilot screening study
- A new handheld fundus camera combined with visual artificial intelligence facilitates diabetic retinopathy screening
- The Integration of Diabetic Eye Screening into Hemodialysis Units in Northern Ireland
- Comparison of 2-Field and 5-Field Mydriatic Handheld Retinal Imaging in a Community-Based Diabetic Retinopathy Screening Program
- Comparison of 50° handheld fundus camera versus ultra-widefield table-top fundus camera for diabetic retinopathy detection and grading
- Diabetic retinopathy in African-Americans with end-stage kidney disease: a cross-sectional study on prevalence and impact on quality of life
- Prevalence of diabetic retinopathy in patients with diabetes in Alexandria and North-West Delta, Egypt
- Comparisons of handheld retinal imaging devices with ultrawide field images for determining diabetic retinopathy severity
- Comparisons of Handheld Retinal Imaging with Optical Coherence Tomography for the Identification of Macular Pathology in Patients with Diabetes
- One-field, two-field and five-field handheld retinal imaging compared with standard seven-field Early Treatment Diabetic Retinopathy Study photography for diabetic retinopathy screening
- Application of non-mydriatic fundus photography-assisted telemedicine in diabetic retinopathy screening
Poster studies
Artificial Intelligence in Diabetic Eye Disease
Artificial Intelligence can be used for the early detection of diseases and conditions from the fundus. Our image quality has been validated to be suitable with several different AI algorithms and produce reliable results with high sensitivities and specificities in detecting diabetic retinopathy.
Clinical Studies
- Comparison of 21 artificial intelligence algorithms in automated diabetic retinopathy screening using handheld fundus camera
- Head to head comparison of diagnostic performance of three non-mydriatic cameras for diabetic retinopathy screening with artificial intelligence
- Validation of an autonomous artificial intelligence-based diagnostic system for holistic maculopathy screening in a routine occupational health checkup context
- Performance of Automated Machine Learning for Diabetic Retinopathy Image Classification from Multi-field Handheld Retinal Images
- Artificial intelligence in diabetic retinopathy screening: clinical assessment using handheld fundus camera in a real-life setting
- Accuracy of Integrated Artificial Intelligence Grading Using Handheld Retinal Imaging in a Community Diabetic Eye Screening Program
- A new handheld fundus camera combined with visual artificial intelligence facilitates diabetic retinopathy screening
- Screening for Diabetic Retinopathy in Endocrinology Clinics by Using Handheld Cameras and Applying Artificial Intelligence Algorithms
Pediatric Ophthalmology
Optomed handheld fundus camera is well-suited for pediatric patients for all age groups. See how our camera has been utilized in different cases.
Poster Studies
- Retinal Imaging Study of Children
- Bilateral posterior uveitis in 3,5-year-old boy with presumed Behcet disease
- Feasibility of a handheld non-mydriatic fundus camera in pediatric use: evaluating ease of use and image quality
Various Case Studies
Neurology and Neuro-ophthalmology
Optomed handheld fundus camera can be successfully used in non-ophthalmology settings; the critical optic nerve examination with a handheld fundus camera can be performed with a high success rate.
Clinical Studies
- Comparison of optic disc evaluation methods in neurology emergency patients
- Imaging of the optic nerve: technological advances and future prospects
- A Deep Learning System for Automated Quality Evaluation of Optic Disc Photographs in Neuro-Ophthalmic Disorders
Thesis
Retinal Vasculature Visualization
Clinical Studies
- Analysis of Retinal Blood Vessel Diameters in Pregnant Women Practicing Yoga: A Feasibility Study
- Retinal venular vessel diameters are smaller during ten days of bed rest
- Sex Variations in Retinal Microcirculation Response to Lower Body Negative Pressure
- Alterations of retinal vessels in patients with sepsis
- Ocular microvascular changes in patients with sepsis: a prospective observational study
Clinical Studies with Smartscope
- Comparison of Angiography Performance of Low-cost portable Fundus camera with standard FFA camera – Validation Study
- Predictors of Photographic Quality with a Handheld Non-Mydriatic Fundus Camera used for Screening of Vision Threatening Diabetic Retinopathy
Case Studies with Smartscope
- BRVO
- Choroidal melanoma suspect
- CSR
- Diabetic retinopathy
- Diabetic retinopathy (type 1 diabetes)
- Diabetic retinopathy (type 2 diabetes)
- Heredomacular Degeneration