AI Retinal Image Analysis Platform

Deep learning-based platform that processes retinal images to assess cardiovascular, kidney, and eye disease risks. Trained on over 2.1 million clinical data points across diverse populations and imaging devices for robust, generalizable diagnostic performance.

AI-powered platform for early detection of retinal changes and diabetic retinopathy. Analyzes fundus photographs to identify pathological changes at early stages before symptom onset. Results are generated within minutes and reviewed by medical professionals.

AI-powered platform for early detection of retinal changes and chronic eye disease via fundus imaging analysis. Enables rapid, non-invasive screening for diabetic retinopathy and other retinal pathology by analyzing fundus photographs. Supports preventive ophthalmology and patient risk stratification in primary care and community settings.

Diagnostic system analyzing retinal biomarkers and vascular damage from fundus photographs to assess risk of cardiovascular events. Evaluates stroke and ischemic heart disease risk through automated retinal image analysis in patients with vascular disease. Supports preventive cardiology and risk stratification.

Integrated endoscopy imaging platform utilizing artificial intelligence for enhanced visualization and analysis. Supports diagnostic accuracy for medical procedures.

Computer-assisted system for echocardiographic image analysis and measurement automation. Employs deep learning to standardize measurements and improve reproducibility of cardiac ultrasound assessments. Supports training and quality assurance in echocardiography services.

An artificial intelligence-based diagnostic analysis platform focused on central nervous system diseases. Built on a comprehensive brain structure imaging database of Chinese populations across all age groups, it combines advanced big data analysis and AI technology to rapidly and accurately assess changes in brain structure, white matter lesions, microhemorrhages, and cerebral blood flow. The platform provides quantitative and intuitive results to assist clinical diagnosis and disease progression prediction within 15 minutes through a simple three-step operation.

Advanced microscope imaging system with artificial intelligence integration for digital pathology and microscopic analysis. Enables automated image capture, analysis, and diagnostic support across laboratory and clinical settings.

An intelligent analysis system for cardiac imaging that utilizes deep learning algorithms to detect and characterize cardiac conditions. The platform assists in the interpretation of cardiac imaging studies for improved diagnostic accuracy.

Artificial intelligence-based health screening platform designed for comprehensive population health assessment and early disease detection. The system analyzes health data to identify risk factors and support preventive care initiatives.

Artificial intelligence-driven diagnostic system that analyzes visual field test data to detect glaucomatous changes and assess disease progression. The platform automatically interprets test results and provides clinical assessment outputs for ophthalmologists.

An artificial intelligence system for screening and detection of brain diseases from neuroimaging studies. The platform generates automated diagnostic support with structured image-text reports for clinical evaluation.