TengXunMiYing

Overview

Tencent Miying is an AI-powered medical imaging-assisted diagnostic platform developed by Tencent. It deeply integrates artificial intelligence with medical imaging technology to provide healthcare institutions with end-to-end intelligent solutions covering screening, diagnosis, and follow-up. The platform supports image analysis for multiple high-incidence diseases, including lung cancer, esophageal cancer, and diabetic retinopathy, significantly boosting diagnostic efficiency and accuracy for clinicians.

Technically, Tencent Miying leverages deep learning algorithms and trains models on massive annotated imaging datasets to automatically identify and quantitatively analyze lesion regions. It supports multimodal imaging, including CT, MRI, X-ray, and fundus photography. The system has undergone clinical validation at numerous top-tier hospitals in China, achieving leading sensitivity and specificity.

In application scenarios, Tencent Miying can be embedded into existing hospital PACS systems for real-time assisted diagnosis, and it also offers cloud deployment options to strengthen primary healthcare services. To date, the platform has served more than 1,000 hospitals and completed millions of imaging analyses.

Core capabilities

Multi-disease coverage

Supports imaging screening across lung cancer, esophageal cancer, diabetic retinopathy, and more.

Precise lesion detection

AI auto-marks suspicious regions with sensitivity above 95%.

Quantitative analysis reports

Generates structured reports with key parameters like lesion size and density.

Cloud deployment options

Supports private and hybrid cloud deployment to ensure data security.

Seamless PACS integration

Compatible with mainstream imaging systems without changing doctor workflows.

Primary care enablement

Combines remote consultation with AI assistance to improve diagnostic capability at grassroots hospitals.

Continuous iterative learning

Models can be continuously optimized with new data to maintain diagnostic accuracy.

Use cases

Lung nodule CT screening: Automatically detects tiny nodules and assesses the risk of malignancy.

Early esophageal cancer screening: Identifies mucosal abnormalities through upper gastrointestinal contrast imaging.

Diabetic retinopathy screening: Automatically stages and grades retinal photographs.

Breast cancer mammography assistance: Intelligently detects masses and calcification points.

Fracture X-ray assistance: Automatically locates fracture areas in limb and spine bones.

Stroke CT perfusion analysis: Rapidly evaluates the ischemic penumbra extent.

Grassroots hospital remote consultation: Senior specialists provide diagnostic suggestions with AI assistance.