This solution can stream and integrate various medical images on the platform. Its AI annotation framework generates real-time annotated reminders and alerts on surgical images to aid doctors in identifying and interpreting specific lesions.

Technical support tools for AI modeling, such as inference and model training

On-premise and cloud image permission management, browser playback, real-time streaming, cloud storage, video download, case study sharing, etc.

The interface simplifies the workflow and increases the ease of use.

This system can simultaneously receive signals from various medical devices, integrate the timelines of real-time medical images into a single video file, and save the images on the same timeline separately. It supports screen switching, picture-in-picture, dual-screen, and quadruple screen adjustment. Users can adjust the screen configuration no matter how they want to integrate medical images and physiological data seamlessly.

The system connects to the existing PACS system to import images for annotation (Annotation Tool). The annotated images can be used to train AI models via inference, which will automatically annotate images (Auto Annotation).

‧ Image streaming  ‧ Dynamic annotation 
‧ DICOM support  ‧ Image configuration

This solution can be developed in conjunction with projects, specialist physicians, and hospital departments. Its applications are extendable to assisting preoperative discussions, intraoperative AI interpretation, and postoperative medical analyses. These services can be promoted by software subscription.