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Validada pela ciência,
Movida pela Inovação
Nossa tecnologia está na vanguarda da pesquisa médica global. Explore as publicações científicas e os ensaios clínicos que validam nossas soluções em triagem, diagnóstico e integração de inteligência artificial em diversos ambientes de saúde.
ARTIGOS
Clinical Validation of a Smartphone-based Handheld Fundus Camera for Evaluation of Optic Nerve Head
Diabetic Macular Edema Screened by Handheld Smartphone‐based Retinal Camera and Artificial Intelligence
Applicability of portable retinal cameras and telemedicine as facilitating tools in screening diabetic retinopathy in the COVID-19 pandemic scenario
Real-time Diagnosis of Diabetic Retinopathy by a Handheld Retinal Camera, Artificial Intelligence and Simultaneous Specialist Confirmation: Closing the Gap
COVID-19 Retinal Findings in Patients Admitted to Intensive Care Units and Wards
Diabetic retinopathy screening in urban primary care setting with a handheld smartphone‐based retinal camera
The feasibility of smartphone based retinal photography for diabetic retinopathy screening among Brazilian Xavante Indians
Diabetic Retinopathy Screening Using Artificial Intelligence and Handheld Smartphone-Based Retinal Camera
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
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
A Data-driven Approach to Referable Diabetic Retinopathy Detection
A comprehensive strategy of diabetic retinopathy screening in a public health system: Identifying and overcoming obstacles for implementation
New Direct and Indirect Ophthalmoscopy Teaching Methodology for Veterinary Doctors
Real-World diabetic retinopathy screening with a handheld fundus camera in a high-burden setting
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
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
Feasibility of screening for diabetic retinopathy using artificial intelligence, Brazil
Integrating Nursing–Teleophthalmology Improves Diabetic Retinopathy Screening in Primary Healthcare, Reducing Unnecessary Referrals to Specialist Healthcare
