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AI Screening for Diabetic Retinopathy

Bangalore, India

AI-powered screening system for diabetic retinopathy detection using fundus imaging. Enables non-invasive, population-scale vision screening in primary care and community settings to identify patients requiring specialist referral. Combines portable fundus photography with machine learning algorithm...

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Bangalore, India

Our vision is to make healthcare accessible. Remidio impacts vision impairment by enabling access to early detection of eye diseases.

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* WISKY: AI-Powered Retinal Disease Diagnostic Solution WISKY is an advanced solution that performs real-time analysis of images captured by fundus cameras to detect age-related macular degeneration (AMD), diabetic retinopathy, and glaucoma. It serves as a vital tool for internal medicine clinics, family medicine practices, and health screening centers, assisting in the early detection, prevention, and management of the three leading causes of blindness.

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Aireen a.s. · Czech Republic

Aireen’s core product is a fully autonomous diagnostic platform that uses a cascade of neural networks to analyse retina images and identify markers of chronic diseases, delivering results within seconds. The technology is trained on over a million annotated fundus images to ensure high-quality, reliable screening while guarding against operator error, such as poor image quality, and is camera-agnostic to integrate with a wide range of fundus imaging devices. The platform currently supports detection of diabetic retinopathy and age related macular degeneration, with ongoing development aimed at extending capabilities to cardiovascular and neurodegenerative disease screening. Aireen is offered as a cloud-based service with a pay-as-you-go model, helping healthcare providers save time and costs while enabling early detection and intervention. The company has one trademark.

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Integrated AI platform for early detection and personalized risk assessment of cardiometabolic diseases through retinal imaging analysis. Designed for seamless integration into hospital and clinic information systems globally.

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CheckEye AI-Assisted Image Analysis Software

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Software system utilizing artificial intelligence algorithms to analyze retinal imaging data. Processes fundus photographs to identify pathological changes and generates clinical reports. Integrates with pharmacy and health center networks for distributed screening programs.

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Eyetelligence Assure

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An AI-enabled clinical support tool that analyzes full-color retinal images to screen for referable eye diseases and evaluate patient health. The non-invasive solution uses advanced algorithms to provide accurate assessments and standardized care recommendations for providers, patients, and insurers.

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Eyetelligence Assure Software

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AI-enabled Software as a Medical Device (SaMD) that analyzes full-colour retinal images to screen for referable eye diseases and cardiovascular disease risk. The software generates instant risk assessment reports for clinical decision-making and patient care optimization.

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Software solution for automated analysis of fundus photographs using deep learning algorithms. Processes retinal imaging data to generate diagnostic insights for cardiovascular and ophthalmologic conditions.

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AI Health Prediction Models

Feipu Intelligent Technology (Shanghai) Co., Ltd. · China

AI-powered computational biology models for non-invasive health prediction and screening. Integrates multimodal optical imaging with machine learning algorithms to analyze genomic, RNA, and cellular biomarkers for disease risk assessment. Applications include oncology prediction, metabolic profiling, and rapid health screening in clinical and occupational health settings.

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AI-Powered Medical Image Processing System

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AI algorithm-based image processing system for medical diagnostics and analysis. Processes medical imaging data with machine learning capabilities for automated detection and medical decision support.

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AI-powered Diagnostic Platforms

Infervision · China

AI-powered diagnostic platform utilizing deep learning and convolutional neural networks to assist clinicians in detecting and analyzing diseases across multiple organ systems including lungs, cardiovascular, breast, and skeletal structures. Integrates medical imaging analysis with clinical workflow support for disease screening, diagnosis, and treatment planning across oncology, infectious disease, and cardiovascular applications.

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