DEXIS CBCT technology and DTX Studio™ Clinic Software.
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Overview of DEXIS CBCT and DTX Studio™ Clinic Software
DEXIS CBCT imaging combined with DTX Studio™ Clinic software uses advanced artificial intelligence to assist clinicians in evaluating dental and maxillofacial imaging. AI-powered tools can automatically identify potential areas of concern, including bone loss, cavities, periapical lesions, restorations, and other radiographic findings. These technologies serve as a diagnostic aid and enhance treatment planning, patient education, and clinical efficiency. All findings are reviewed and interpreted by the dentist, who remains responsible for the final diagnosis and treatment recommendations.
DEXIS is one of the leading digital imaging platforms in dentistry. Its CBCT systems (such as the DEXIS OP 3D family) integrate with DTX Studio™ Clinic software, which serves as a centralized platform for:
- CBCT imaging
- 2D radiographs
- Intraoral scans
- Clinical photographs
- Implant planning
- Surgical guides
- Diagnostic review and patient education
The software allows clinicians to review a patient’s complete imaging history in one interface and correlate findings across multiple imaging modalities.
DEXIS AI Capabilities
DEXIS has invested heavily in AI-assisted diagnostics and workflow automation. The company reports that its AI tools analyzed more than 120 million clinical findings in 2025. These tools are designed to assist—not replace—the clinician’s diagnosis.
1. Automated Detection of Dental Findings
DEXIS AI automatically highlights suspected abnormalities and restorations on radiographs and presents them visually for review.
Current AI modules can assist with identification of findings such as:
- Caries
- Existing restorations
- Marginal discrepancies
- Calculus
- Bone loss
- Periapical radiolucencies
- Root canal defects
The software acts as a “second set of eyes,” drawing attention to areas that may warrant closer evaluation.
2. CBCT Nerve Mapping
One of the FDA-cleared AI applications within DTX Studio is automated tracing of the mandibular canal on CBCT scans.
Benefits include:
- Implant planning
- Third molar surgery planning
- Reduced risk of inferior alveolar nerve injury
- Faster treatment planning workflows
This feature significantly reduces the time traditionally spent manually tracing the nerve.
3. Anatomical Segmentation
AI-assisted segmentation helps identify and isolate structures within CBCT scans, including:
- Teeth
- Bone
- Nerves
- Airway structures
This improves visualization for implant, orthodontic, oral surgery, and airway cases. Similar AI segmentation techniques are widely recognized as one of the most valuable applications of CBCT AI.
4. Airway Analysis
For orthodontic and sleep-disordered breathing evaluations, AI can assist in:
- Airway segmentation
- Volume calculations
- 3D airway visualization
- Measurement consistency
Research suggests AI-assisted airway analysis improves efficiency and reproducibility of airway assessments compared with manual methods.
Can DEXIS AI Diagnose Disease?
The short answer is no—not independently.
DEXIS AI is classified as a computer-aided detection (CADe) system. It highlights suspicious findings and assists clinicians, but the final diagnosis remains the responsibility of the dentist or radiologist. DEXIS itself emphasizes that AI should support clinical judgment rather than replace it.
Think of it as:
- AI = identifies areas of concern
- Dentist = determines diagnosis and treatment
- Airway constriction
- Potential obstructive sleep apnea risk indicators
Maxillofacial Findings
Impacted teeth
Cysts
Sinus abnormalities
Osseous lesions
Anatomical variations requiring further investigation
The software may flag these findings, but interpretation and definitive diagnosis remain clinician-driven.
Benefits for Dental Practices
Many practices adopt DEXIS AI because it can:
- Improve diagnostic consistency
- Reduce overlooked findings
- Speed image review
- Enhance patient communication
- Increase treatment acceptance through visual overlays
- Standardize radiographic evaluations among providers
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