Our self-developed “Restore Image PACS/RIS” complies with HL7, DICOM 3.0 and IHE standards. It provides a secured network for the transmission of patient information, workstations for interpreting and reviewing images, and archives for the storage and retrieval of images and reports. “Restore Image PACS/RIS” integrates advanced visualization, 3D post processing, statistical function, diagnostic report template, etc. It allows Web viewing, guarantees cloud security and disaster recovery, and enables interoperability and seamless integration with third-party systems.


Teleradiology Platform/

Wingspan Cloud is a SaaS-based teleradiology platform, providing unlimited cloud storage and convenient access to Web and mobile viewing. The cloud diagnosis platform connects hundreds of hospitals in all levels and processes thousands of cases every day, covering a dozen provinces in China. Real-time online diagnosis ensures losslessly compressed digital films with SSL encryption technology, which builds a bridge between large hospitals and primary-level hospitals, and enables patients in grassroots areas to have access to high-quality medical services.



registered radiologists


have passed rigorous examination


Wingspan has gained the licenses to establish imaging centers in Shaanxi, Gansu, Ningxia and inner Mongolia, and it is expected to announce the opening-up of fourteen centers in China by the end of 2017.

  • haerbin

  • wulanchabu

  • huhehaote

  • china beijing

  • dalian

  • yinchuan

  • heze

  • xining

  • lanzhou

  • jiaozuo

  • xian

  • chengdu

  • hefei


Wingspan initiates to develop deep learning-assisted diagnostics by integrating all relevant diagnostic and clinical data to revolutionize the way radiologists work. Our R&D team is working on a novel combination of mobile health, data transmission, cloud computing, cognitive computing, deep learning and natural language processing algorithms.

Wingspan’s deep learning networks examine millions of scans to automatically learn to identify diseases. Our deep learning solutions quickly analyze cases to detect and highlight suspicious findings, which can streamline radiologists’ workflow and substantially improve diagnosis efficiency and accuracy.