How to use DentiVision AI
A smart assistant for your dental clinic. Upload patient imaging, let the platform prepare structured findings for your review, and produce professional reports — all in one secure workspace.
Two words you will see everywhere
Case
A patient visit. When you create a case, you enter the patient’s name, sex, date of birth, and the clinical question you want answered. The age is calculated automatically from the date of birth.
Study
One imaging set inside a case — for example, a periapical X-ray, a panoramic image, or a CBCT volume. A case can contain several studies over time.
Sex is recorded as Male or Female so the report is clinically consistent.
The clinic workflow
Three clear steps
Every case follows the same path. Each step has one primary action, so the workspace stays simple.
- 1
Create the case & upload a study
Start a patient visit and add the imaging.
- Click New Case and enter the patient’s information.
- Choose Male or Female and enter the Date of Birth. Age is filled in automatically.
- Upload the X-ray, panoramic, or CBCT file. The platform checks the file type and stores it privately.
Cases → New Case → Upload StudyCreate a case - 2
Run AI analysis on the study
Let the platform prepare structured findings for your review.
- Once the study passes technical validation, the Run Analysis button becomes available.
- DentiVision AI detects the modality, maps the teeth (FDI numbering), and runs only the eligible modules.
- Every output is a suggestion. Nothing is diagnosed automatically.
Case detail → Run AnalysisGo to cases - 3
Review findings & sign the report
Verify, edit, and finalize the clinical report.
- Open the Review workspace to compare each finding with the source image.
- Resolve any contradictions. Critical conflicts block report signing until you review them.
- Generate the report, review the preview, and sign when you are satisfied.
Review → Reports → PreviewSee report preview
What to expect
You stay in control
AI outputs are suggestions. A clinician must confirm every finding before a report is finalized.
Quality first
If an image fails validation — wrong file type, poor quality, or missing metadata — the platform tells you why.
Evidence-linked outputs
Each finding is linked to the source image coordinates and model version so you can verify it.
Advanced specialty tools
After you complete the main workflow, you can open deeper tools for specific clinical questions. These are optional and are kept behind the main workflow so they do not clutter the day-to-day clinic flow.
Private and secure by default
Imaging is stored in private buckets. Signed URLs are used for viewing. Every action is logged in an audit trail. Role-based access controls keep clinic staff data separated.
Ready to try it?
Sign in or continue with Google. New users select a professional role before entering the workspace.