MEDIC https://validator.w3.org/feed/docs/rss2.html Team Optimización de prescripciones refractivas mediante aprendizaje automático y el análisis computacional de imágenes retinianas Detección de queratocono utilizando imágenes de aberrometría de frente de onda Machine learning engine to optimize the correction of refractive errors Optimization of refractive prescriptions by dynamic image quality metrics analysis Investigation of the accuracy of a low-cost, portable, autorefractor to provide well-tolerated eyeglass prescriptions: a randomized crossover trial PlenOptika wins 2022 SPIE Prism Award Inter- and intrasession reproducibility of an open-field portable wavefront autorefractor with and without fogging lenses Assessment of a machine learning approach to predict subjective sphero-cylindrical correction using wavefront aberrometry data Dynamic Analysis of Retinal Image Quality Metrics for Predicting Manifest Refraction Better one or two? A systematic review of portable automated refractors QuickSee nominated for the 2020 edition of prestigious Silmo d’or award QuickSee nominated for the 2020 edition of prestigious Silmo d’or award Objective Refraction with Self-Operable, Lightweight Autorefractor for Space Flight Applications A new Model for the Deployment of Optometry Services using low-cost Portable Technology and Digital Services Retinal Image Quality Analysis for Predicting subjective refraction Predicting subjective refraction<br>with dynamic retinal image quality<br>analysis Mechanical Design and Integration of a Self-Adjustable Optical System for an Automated Refraction Device Design of an Active Vision System for High-Level Isolation Units through Q-Learning QuickSee found convenient, accurate in pediatric refraction Assesment of the QuickSee wavefront autorefractor for characterizing refractive errors in school-age children MEDIC Research published in <strong><em>Ophthalmic & Physiological Optics</em> (OPO)</strong>  PlenOptika Engineer, Ignacio Casares, invited as speaker at URJC workshop PlenOptika´s new autorefractor QuickSee Free receives the Silmo d´or prize in Paris MEDIC receives Technology transfer award from Universidad Autónoma de Madrid Ametropia detection using a novel, compact wavefront autorefractor Dr. Lage inivited to be a mentor in the prestigious WILDCARD program from EIT QuickSee found convenient, accurate in pediatric refraction MEDIC Engineer winner of the Everis Adward: Best bachelor thesis of the academic year 2019-2020! PlenOptika: Vision Testing Goes Global MEDIC Engineer winner of the Deloitte Adward: Best bachelor thesis of the academic year 2019-2020! Vision Driven innovation – Invited talk at EIT Wildcard program Portable Wavefront Sensor for measuring refractive errors in post cataract surgery patients News Dr. Lage invited speaker at InnoDays Madrid | “Oportunidades y retos en tecnologías biomédicas” Prediction of manifest refraction using machine learning ensemble models on wavefront aberrometry data Prediction of manifest refraction using machine learning ensemble models on wavefront aberrometry data MEDIC technology used in experiments on the Polaris Dawn mission this week! MEDIC Engineer winner of the Deloitte Adward: Best bachelor thesis of the academic year 2019-2020! Research Home Expertise Sensors group Objective Refraction with Self-operable, Lightweight autorefractor Vision Changes in Spaceflight PlenOptika participates in spaceflight vision testing PlenOptika named a finalist for 2022 SPIE Prism Award PlenOptika recognized with prestigious Eddie Award for innovation Dr. Juan Aguirre Bueno joins MEDIC PlenOptika Director of Engineering named 2020 IAPB Eye Health Hero