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Infervision
Categories: Healthcare, Data Analysis |
Pricing: Enterprise |
Official Website ↗
Infervision develops AI-powered medical imaging and clinical treatment solutions for hospitals and healthcare providers globally.
Infervision, established in 2016, specializes in AI in the medical field with a vision to improve global health through AI. The company offers a comprehensive product line covering various diseases like cancer, infectious diseases, cardiovascular diseases, cerebrovascular diseases, and trauma. Its solutions span the entire patient treatment process, from screening and diagnosis to intervention, treatment, patient health management, and medical research.
The company's products have received market approvals from major regulatory bodies including China NMPA, US FDA, EU CE, UK UKCA, and Japan PMDA. Infervision's technology is deployed in over 1000 medical institutions across more than 30 countries, providing integrated smart medical services to governments, healthcare organizations, doctors, and patients.
Key Features
- InferRead Medical Imaging Solutions (lung, cardiovascular, breast, bone/joint diseases)
- InferOperate Clinical Treatment Solutions (surgical planning, intraoperative navigation)
- InferCare Clinical Follow-up Solutions
- AI-powered Scientific Research Solutions (InferScholar, InferMatrix platforms)
- Deep learning convolutional neural network models
- Automated disease diagnosis and treatment decision support
Pros
- Comprehensive coverage across multiple disease areas and organs
- Solutions span the entire patient treatment process
- Products approved by major global regulatory bodies (NMPA, FDA, CE, UKCA, PMDA)
- Seamless integration into doctor workflows (usability)
- Robustness for various application scenarios
Cons
- Pricing information is not publicly disclosed
- Specific details on integration capabilities are not provided
- No mention of direct patient-facing applications
- Requires high-quality medical imaging data for training
- Focus primarily on enterprise and institutional clients
Use Cases
- AI-assisted diagnosis of major diseases from medical images
- Intelligent surgical planning and intraoperative navigation
- Clinical follow-up and patient health management
- Accelerating medical research and innovation
- Improving efficiency and accuracy in clinical workflows
Best For
- Hospitals
- Medical institutions
- Healthcare providers
- Medical researchers
- Government healthcare initiatives
Platforms: Web
Watch demo on YouTube ↗
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