Medit announced two major collaborations with Imagoworks and Pearl, which aim to enhance clinic operations and improve patient experience by integrating advanced technologies to improve digital dental workflow and diagnostics.
First, Medit’s collaboration with Imagoworks focuses on optimizing the treatment process for edentulous restorations. The collaboration integrates Medit’s SmartX solution with Imagoworks’ AOX system, making it easier for dentists to design and restore All-on-X cases.
The MeditLink platform allows users to seamlessly transfer high-precision scan data to the AOX system, enabling a streamlined design process. The integration supports two service models: digital design only, or a complete solution covering temporary and final restorations.
“We are very much looking forward to providing a more efficient end-to-end solution for full-mouth edentulous restorations through this collaboration, allowing dentists to improve operational efficiency while maintaining quality patient care,” said Han Ryu, CEO of Medit.
Medit has also partnered with artificial intelligence company Pearl to integrate its AI-driven diagnostic technology into the Medit Link platform.
Pearl’s system can help identify common problems such as tooth misalignment, cracks, tartar and discoloration, enhancing the diagnostic capabilities of intraoral scans in clinical practice.
This integration provides dentists with clear visual diagnostic support, helping to improve diagnostic accuracy and optimize doctor-patient communication.
“We believe that integrating Pearl’s AI technology into Medit’s platform will bring profound changes to dentists in diagnosis, communication and patient care management,” said Pearl founder and CEO Ophir Tanz.
These two collaborations further consolidate Medit’s leading position in digital dental solutions.
Medit is committed to helping dental professionals achieve more efficient and accurate patient care by collaborating with Imagoworks to optimize the restoration process and using Pearl’s AI technology to improve diagnostic standardization and communication efficiency.
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