LianYingZhiNeng
AI-empowered medical imaging: accessible precision, safeguarding every life
- Pricing:
- Free plan
Overview
United Imaging Intelligence is a solution provider under United Imaging Medical, focusing on AI-powered medical imaging. Leveraging deep learning and big data technology, it offers healthcare institutions of all levels a full-process intelligent service from image acquisition, analysis, to diagnostic decision-making. Its core products cover AI-assisted diagnostic systems for multi-modality imaging including CT, MRI, and PET-CT, supporting automatic detection and quantitative analysis of various diseases such as pulmonary nodules, cardiovascular diseases, and stroke.
United Imaging Intelligence has developed its own deep learning platform capable of efficiently training and deploying medical imaging AI models, deeply integrated with United Imaging's hardware equipment for seamless data acquisition and analysis. Meanwhile, it provides cloud-based AI services that support remote consultations and cross-institution collaboration, effectively enhancing the diagnostic capabilities of primary-level hospitals.
Through continuous technological innovation and clinical validation, United Imaging Intelligence has been implemented in hundreds of hospitals across China, assisting in over ten million diagnostic cases cumulatively, significantly improving diagnostic efficiency and accuracy. Whether in large tertiary hospitals or grassroots community centers, United Imaging Intelligence is advancing the adoption and standardization of AI in medical imaging.
Core capabilities
- Intelligent image analysis
- Automatically detects lung nodules, cardiovascular diseases, stroke, and other lesions to improve detection rates
- Multimodal fusion
- Supports combined analysis and reporting of CT, MRI, PET-CT, and other multimodal images
- Deep learning platform
- Provides an end-to-end AI development environment from data processing to model training and deployment
- Cloud AI services
- Enables remote diagnosis, consultations, and continuous AI model updates via the United Imaging Cloud
- Integrated hardware and software
- Deeply integrated with United Imaging equipment for real-time data transmission and intelligent analysis
- Clinical decision support
- Generates structured reports based on quantitative imaging indicators to assist physicians in treatment planning
- Quality control
- Automatically detects image quality, optimizes scanning parameters, and reduces redundant exams
- Research support
- Provides data annotation, statistical analysis, and paper writing assistance to accelerate clinical research
Use cases
- Early lung cancer screening: AI automatically identifies and grades lung nodules, assisting radiologists in rapid diagnosis
- Emergency stroke assessment: AI analysis of CT perfusion images quickly interprets the ischemic penumbra
- Cardiovascular diagnosis: Intelligent analysis of coronary CTA to assess stenosis severity
- Fracture detection assistance: AI identifies extremity fractures on X-rays to reduce missed diagnoses
- Mammography screening: AI marks suspicious calcifications to improve early breast cancer detection
- Liver disease quantification: AI analysis of MRI images quantifies fat content and fibrosis degree
- Bone age assessment: AI automatically assesses bone age from hand X-rays to aid growth monitoring
- Pneumonia and COVID-19 diagnosis: AI rapidly identifies pulmonary infection areas on CT images
- Remote consultation empowerment: Primary hospitals upload images, and top-tier specialists diagnose remotely with AI analysis
- Research data mining: AI analysis of large-scale imaging data supports clinical research and new drug trials
Who it's for
Radiology physicians, Imaging technologists, Hospital administrators, Clinical researchers, Primary care institutions, Telemedicine consultation centers, Medical AI developers
Getting started
- 1Deploy and install — Set up the United Imaging Intelligence system on the hospital intranet or United Imaging Cloud and configure the hardware environment
- 2Import data — Upload CT, MRI and other imaging data via the DICOM interface, with batch upload support
- 3Launch analysis — Select the image series to analyze, click the "AI Analysis" button, and the system automatically identifies and marks suspected lesions
- 4Review results — Examine the AI-generated quantitative report (e.g., nodule size, density, location) and combine with clinical information for final diagnosis
- 5Export report — Integrate AI analysis results into structured reports, with one-click export to PACS or printing
Traffic analytics
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