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Validated by Science,
Driven by Innovation
Our technology is at the forefront of global medical research. Explore the scientific publications and clinical trials that validate our solutions in screening, diagnostics, and artificial intelligence integration across diverse healthcare settings.
PAPERS & ARTICLES
Smartphone-based retinal camera modified for ROP screening
Integrating Nursing–Teleophthalmology Improves Diabetic Retinopathy Screening in Primary Healthcare, Reducing Unnecessary Referrals to Specialist Healthcare
A portable retina fundus photos dataset for clinical, demographic, and diabetic retinopathy prediction
Utility of handheld non-mydriatic fundoscopy in a case of bilateral, reversible vision loss in an advanced HIV patient with cryptococcal meningitis in Sub-Saharan Africa
Transition from an in-person to a telemedicine diabetic retinopathy screening program
Synchronous Diagnosis of Diabetic Retinopathy by a Handheld Retinal Camera, Artificial Intelligence, and Simultaneous Specialist Confirmation
Smartphone-Based Fundus Camera and Telemedicine: A Study in the Brazilian Amazon Forest
Portable color retinography findings in COVID -19 patients admitted to the ward
mBRSET: A Portable Retina Fundus Photos Benchmark Dataset for Clinical and Demographic Prediction
Image quality comparison of AirDoc portable retina camera versus eyer in a diabetic retinopathy screening program
Automated Identification of Different Severity Levels of Diabetic Retinopathy Using a Handheld Fundus Camera and Single-Image Protocol
Anesthesia for preoperative non-invasive intracranial pressure measurement in a child with Apert syndrome: a case report
A comprehensive strategy of diabetic retinopathy screening in a public health system: Identifying and overcoming obstacles for implementation
Single retinal image for diabetic retinopathy screening: performance of a handheld device with embedded artificial intelligence
Point-of-care Diabetic Retinopathy screening with a low-cost portable retinal camera, artificial intelligence and staged mydriasis in a rural, underserved area
Congenital herpes simplex with ophthalmic and multisystem features: a case report
Clinical validation of a smartphone‐based retinal camera for diabetic retinopathy screening
Real-World diabetic retinopathy screening with a handheld fundus camera in a high-burden setting
New Direct and Indirect Ophthalmoscopy Teaching Methodology for Veterinary Doctors
Feasibility of screening for diabetic retinopathy using artificial intelligence, Brazil
Real-time Diagnosis of Diabetic Retinopathy by a Handheld Retinal Camera, Artificial Intelligence and Simultaneous Specialist Confirmation: Closing the Gap
Applicability of portable retinal cameras and telemedicine as facilitating tools in screening diabetic retinopathy in the COVID-19 pandemic scenario
Diabetic Macular Edema Screened by Handheld Smartphone‐based Retinal Camera and Artificial Intelligence
COVID-19 Retinal Findings in Patients Admitted to Intensive Care Units and Wards
The feasibility of smartphone based retinal photography for diabetic retinopathy screening among Brazilian Xavante Indians
Retinal changes in COVID-19 hospitalized cases
High Frequency of Asteroid Hyalosis Precludes Diabetic Retinopathy Screening With Smartphone-Based Retinal Camera in Brazilian Xavante Indians
From Machine to the Real World: Assessing the Accuracy of a Machine-to-Machine (M2M) Deep Learning Model to Detect Glaucoma during a Population-Based Screening Effort in Brazil
Diabetic retinopathy screening in urban primary care setting with a handheld smartphone‐based retinal camera
Diabetic Retinopathy Screening Using Artificial Intelligence and Handheld Smartphone-Based Retinal Camera
Clinical Validation of a Smartphone-based Handheld Fundus Camera for Evaluation of Optic Nerve Head
