Developing precision medicine that enables superior healthcare quality and outcomes has become a global trend. We are cooperating with the Kaohsiung Veterans General Hospital to develop a digital pathology platform powered by Intel’s OpenVINO open-source toolkit:
Based on FHIR and mCODE specifications and on disease detection algorithms driven by AI, it produces structured reporting that saves doctors considerable time in writing pathology reports. It is also an industry first that it makes possible pathology-slide browsing and/or labeling and doctors’ online meetings, shortening the time needed for data cleaning and lesion labeling and optimizing the quality of AI models.

1.DICOM image quality management
2.DICOMweb digital wsi browser
3.Remote meeting & Collaborative annotation
4.mCODE structured reporting
5. AI-assisted diagnosis
6. Federated learning