MediCapture Inc, a global provider of medical imaging systems, has introduced aiScope, a new software solution designed to run Vision AI models directly on MediCapture MTRs and select MVR imaging platforms. The software processes AI powered image analysis in real time and operates locally on certified devices. The first pilot deployment of aiScope will focus on veterinary science, marking an initial step toward broader clinical and educational use.
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MediCapture will showcase the technology through live demonstrations at VMX 2026 in Orlando, Florida. The demonstrations will feature aiScope running on the company’s VUEES University Edition as well as the portable VUEES Mobility platforms, which are designed for veterinary ultrasound and endoscopy education. These demonstrations will highlight how AI driven imaging can be integrated into both classroom and field based environments.
aiScope is designed to simplify the use of medical AI by enabling real time object detection, image classification, and AI assisted video analysis directly on MediCapture MTR and MVR systems. By running AI locally on the device, aiScope removes the need for external computers, graphics processors, or complex third party infrastructure. This approach allows AI enabled imaging to be used more easily in operating rooms, teaching labs, and remote locations.
Bernd Jotzat, Senior Product Manager at MediCapture, explained that embedding Vision AI directly at the point of care addresses a long standing barrier in medical AI adoption. He noted that many research models struggle to move beyond development environments, and aiScope bridges that gap by making AI practical and usable in real world clinical and educational settings.
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In addition to real time analysis, aiScope also serves as a powerful data collection tool for Vision AI development. When combined with MediCapture MTRs and MVRs, surgical cameras can capture and analyze visual data during procedures. Custom AI models can identify objects or classify images instantly, generating labels and bounding boxes as data is recorded. Future enhancements are expected to include automated annotation features that further reduce the time required for manual review and dataset preparation.
aiScope is designed as a vendor neutral solution that works across endoscopic, microscopic, and surgical camera systems connected to MediCapture hardware. It supports open source AI models and allows users to train, convert, and deploy publicly available or community developed models, offering flexibility for research and education teams.
The first aiScope pilot program will begin on January 15 during VetExpo Europe in Leipzig, Germany, followed by demonstrations at VMX Expo in Orlando on January 17. The pilot will continue through the spring and later expand into structured data collection initiatives for veterinary universities and research institutions throughout 2026.
MediCapture will also demonstrate aiScope on its VUEES Mobility platform, which is designed for use outside traditional clinical settings. The MTR system is compact and energy efficient, capable of running aiScope for extended periods on portable power sources, making it suitable for field work and remote training.
Michael Bishop, President and Chief Executive Officer of MediCapture, shared that the company chose veterinary science as the starting point because of its broad scope and scientific diversity. He emphasized that veterinary medicine covers tens of thousands of species, making it an ideal foundation for discovery. He added that the portability of aiScope allows AI driven imaging to reach environments where traditional systems cannot, supporting innovation across the globe.
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