Spend Less Time Clicking and More Time Treating

Author
By: Dental Product Shopper
3/24/2026

From improved imaging to upgraded planning tools, DTX Studio Clinic v4.7 is a modern imaging hub built for diagnostics, treatment planning, and patient

 

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Dentistry runs on data—x-rays, scans, photos, patient histories—but all too often, that information lives in different systems. The latest update to the DTX Studio platform from DEXIS brings everything together. 

 

Powered by custom-built AI, DTX Studio Clinic v4.7 unites 2D and 3D x-rays, photos, and scans into 1 centralized platform that works with a practice’s existing technology and can be accessed from anywhere. The new release introduces full-mouth AI detection, organizing findings into an intelligent layout the moment an image is captured.

 

More than 14 diagnostic insights can now be automatically identified—including enhanced recognition of crowns, bridges, amalgam, composite restorations, posts, root canals, implants, and abutments—with depth and location indicators supporting more precise planning.

 

One Platform, Zero Chaos

 

With 1-click workflows and tools like MagicAssist, which organizes raw data instantly, treatment planning that once took minutes and multiple clicks can now be completed in seconds.

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Advanced planning tools—including STL exports for jaws and teeth and enhanced 3D panoramic and cephalometric imaging—further expand the platform’s capabilities for comprehensive diagnosis and treatment planning. A smart grouping feature automatically organizes findings by tooth or arch, while tooth-centric navigation allows users to click on any tooth and instantly view all related images.

 

Made for Patient Connection

 

Rather than presenting patients with a single static image, DTX Studio Clinic v4.7 aligns current exams with historical data, helping clinicians visualize changes over time—for example, tracking alveolar bone levels to monitor periodontal progression. Users also can personalize their AI view by hiding nonpathological changes or applying color-coded layers to make findings easier to interpret and explain.

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