I N D U S T R Y I N V E S T I G A T I O N
images , which are then scrutinised by advanced AI and ML algorithms , presents a groundbreaking approach to early diabetic retinopathy detection . This simple yet revolutionary process morphs a conventional smartphone into a potent diagnostic apparatus , delivering immediate insights and actionable feedback to the user .
By harnessing the power of smartphone technology , CareYaya aims to bridge the accessibility gap in diabetic retinopathy screening , particularly for older adults who may face challenges in accessing traditional diagnostic methods . The company ’ s innovative platform allows users to capture high-quality retinal images using their smartphones , which are then analysed by advanced AI and ML algorithms . CareYaya ’ s unique AI-powered , smartphonebased approach to diabetic retinopathy detection has recently been validated by a Google research paper and eliminates the need for costly and time-consuming visits to specialists , making early detection and continuous monitoring of diabetic retinopathy more accessible and affordable for the aging population .
Furthermore , the symbiosis of AI and ML with smartphone technology not only lowers the threshold for initial diabetes detection but nurtures a proactive management ethos .
The continuous learning and improvement model intrinsic to AI and ML enhances diagnostic accuracy over time , fostering realtime condition monitoring and empowering individuals with invaluable insights . This proactive approach paves the way for timely interventions , curbing disease progression and its associated complications .
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