A NEW MODEL FOR THE DEPLOYMENT OF OPTOMETRY SERVICES USING LOW-COST PORTABLE TEC...
A NEW MODEL FOR THE DEPLOYMENT OF OPTOMETRY SERVICES USING LOW-COST PORTABLE TECHNOLOGY AND DIGITAL SERVICES
THE LONG-TERM OBJECTIVE OF THIS PROJECT IS TO IMPLEMENT AN INTEGRATED HARDWARE AND DIGITAL SOLUTION THAT ENABLES ANYONE TO PROVIDE AFFORDABLE AND ACCURATE EYEGLASS PRESCRIPTIONS ANYWHERE. EYEGLASSES PRESCRIBED WITH THIS INTEGRATED...
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El organismo AGENCIA ESTATAL DE INVESTIGACIÓN notifico la concesión del proyecto
el día 2021-01-01
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Descripción del proyecto
THE LONG-TERM OBJECTIVE OF THIS PROJECT IS TO IMPLEMENT AN INTEGRATED HARDWARE AND DIGITAL SOLUTION THAT ENABLES ANYONE TO PROVIDE AFFORDABLE AND ACCURATE EYEGLASS PRESCRIPTIONS ANYWHERE. EYEGLASSES PRESCRIBED WITH THIS INTEGRATED SOLUTION WILL CORRECT VISION AS WELL AS OR SURPASS THOSE PRESCRIBED THROUGH SUBJECTIVE REFRACTION.SPECIFICALLY, THIS PROPOSAL DESCRIBES THE IMPLEMENTATION OF AN ADVANCED AND CLINICALLY TESTABLE EMBODIMENT OF THE TECHNOLOGY WHICH WILL CONSIST OF A PORTABLE DEVICE NAMED QUICKSEE PLUS. THIS FIRST-OF-ITS-KIND DEVICE WILL SEAMLESSLY INTEGRATE 1) RAPID, PRECISE OBJECTIVE REFRACTION WITH A 2) SIMULTANEOUS REFRACTION CORRECTION SYSTEM, CAPABLE OF CORRECTING THE PATIENTS REFRACTIVE ERROR IN REAL TIME, AND WITH 3) STATE-OF-THE-ART MACHINE LEARNING ALGORITHMS TO PREDICT SUBJECTIVE PREFERENCES OF A PATIENT. THE OBJECTIVE REFRACTION SUBSYSTEM OF THIS NEW DEVICE WILL BE BASED ON THE PLENOPTIKA WAVEFRONT REFRACTION ENGINE (DEVELOPED BY OUR LAB AND COMMERCIALIZED WORLDWIDE BY PLENOPTIKA, INC), WHICH IMPLEMENTS WAVEFRONT ABERROMETRY INTO A COMPACT, OPEN-VIEW, LOW-COST, BATTERY-POWERED DEVICE THAT PERFORMS FAST AND ACCURATE AUTOREFRACTION. THE REAL-TIME REFRACTION CORRECTION MODULE WILL LEVERAGE RECENT ADVANCES IN TUNABLE LENS TECHNOLOGY THAT TO CONTROL OPTICAL POWER RAPIDLY AND PRECISELY. THIS WILL ENABLE THE QUICKSEE PLUS TO TAKE QUICK OBJECTIVE MEASUREMENTS THAT CAN BE IMMEDIATELY REFINED AND VERIFIED BY A SUBJECTIVE PROCESS. THE UNIQUE MACHINE LEARNING (ML) DISTRIBUTED ENGINE TO BE DEVELOPED IN THIS PROJECT WILL COMBINE, FOR THE FIRST TIME, DYNAMIC ABERROMETRY DATA WITH RETINAL IMAGE QUALITY DESCRIPTORS (E.G. STREHL RATIO). THIS COMBINATION ENABLES THE DEVICE TO SIMULATE THE EFFECT OF DIFFERENT CORRECTIONS ON THE VISION OF THE PATIENT IN ORDER TO BETTER PREDICT SUBJECTIVE REFRACTION RESULTS[4]. FURTHERMORE, THIS MACHINE LEARNING ENGINE WILL BE BASED ON A DIGITAL SERVICE INFRASTRUCTURE, HOSTED IN THE CLOUD, ON WHICH QUICKSEE PLUS DEVICES ARE CONNECTED. THROUGH THIS INFRASTRUCTURE, DEVICES WILL UPLOAD DATA, THAT SERVE TO IMPROVE THE TRAINING DATA FOR THE ML ALGORITHMS, AND ALSO DOWNLOAD UPDATED VERSIONS OF THE MACHINE LEARNING ALGORITHMS, WHICH ARE CONTINUALLY BEING IMPROVED BY THE EXPANDING TRAINING DATA SET.TOGETHER WITH THE UNIQUE COMBINATION OF OBJECTIVE AND SUBJECTIVE CAPABILITIES IN A PORTABLE FORM FACTOR OFFERED BY THE QUICKSEE PLUS, THE TECHNOLOGY CAN DRAMATICALLY SIMPLIFY AND DEMOCRATIZE THE REFRACTION PROCESS WHILE PROVIDING GOLD STANDARD CLINICAL OUTCOMES. FURTHERMORE, A HOST OF NEW RESEARCH OPPORTUNITIES TO BETTER UNDERSTAND THE RELATIONSHIP BETWEEN OBJECTIVE AND SUBJECTIVE REFRACTION WILL EMERGE AS THE DIGITAL DATASET GROWS WITH INCREASING ADOPTION OF THE TECHNOLOGY.