MediosHI AMD AI

AI-enabled clinical decision support software for early detection, monitoring, and treatment of age-related macular degeneration.

AI-enabled software platform for early detection, monitoring, and treatment management of age-related macular degeneration. The system assists clinicians in identifying and managing AMD progression through intelligent clinical decision support.

* 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.

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.

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.

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.

Artificial intelligence-based image recognition algorithms for automated analysis of medical imagery in diagnostic systems. This technology reduces clinician workload and supports rapid clinical intervention through intelligent image interpretation.

An artificial intelligence solution for medical imaging analysis that enables precise algorithmic computation for improved diagnostic accuracy. The system is designed to enhance diagnostic capabilities in healthcare settings through advanced machine learning technology.

AI-powered non-invasive health screening system that integrates multimodal optical imaging with computational biology models to assess multiple health parameters including glucose, blood pressure, and body composition from facial analysis. Combines digital biomarkers with machine learning algorithms for real-time multi-dimensional health predictions across clinical and consumer health settings.

Artificial intelligence system designed for automated analysis of medical imaging data including X-ray, CT, and ultrasound images. The platform supports diagnostic capabilities for primary healthcare facilities and remote areas, enabling efficient image interpretation and clinical decision support.

Software platform for artificial intelligence-driven medical image analysis and diagnostic support. Integrates with imaging systems to provide real-time data analysis and clinical decision support capabilities.

Artificial intelligence-powered software solutions for medical applications, including diagnostic support and clinical decision-making tools.