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Diagnocat analyzes dental images using AI to streamline workflows and enhance patient care.
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Diagnocat analyzes dental images using AI to streamline workflows and enhance patient care.
Diagnocat is an AI-powered solution designed to analyze dental images, thereby optimizing dental workflows and improving patient care. It uses artificial intelligence to detect over 60 tooth conditions in 3D images and 40+ in 2D images from intraoral X-rays, panoramic X-rays (OPGs), and CBCT scans. The platform automatically generates reports with 2D and 3D dental images. Diagnocat provides detailed, patient-friendly reports to improve communication and treatment acceptance. It caters to single practitioners, DSOs, and dental laboratories by offering solutions for clinics, laboratories, and patients. The platform aims to provide a bias-free second opinion, facilitate peer-to-peer communication, and is accessible from any device without the need for specialized software.
Diagnocat analyzes dental images using AI to streamline workflows and enhance patient care.
Quick visual proof for Diagnocat. Helps non-technical users understand the interface faster.
Diagnocat is an AI-powered solution designed to analyze dental images, thereby optimizing dental workflows and improving patient care.
Explore all tools that specialize in analyzing intraoral x-rays. This domain focus ensures Diagnocat delivers optimized results for this specific requirement.
Explore all tools that specialize in analyzing panoramic x-rays (opgs). This domain focus ensures Diagnocat delivers optimized results for this specific requirement.
Explore all tools that specialize in analyzing cbct images. This domain focus ensures Diagnocat delivers optimized results for this specific requirement.
Explore all tools that specialize in generating radiological reports. This domain focus ensures Diagnocat delivers optimized results for this specific requirement.
Explore all tools that specialize in creating 3d models from dicom. This domain focus ensures Diagnocat delivers optimized results for this specific requirement.
Explore all tools that specialize in detecting over 60 tooth conditions in 3d images. This domain focus ensures Diagnocat delivers optimized results for this specific requirement.
Open side-by-side comparison first, then move to deeper alternatives guidance.
Automatically segments CBCT scans into 3D STL models for treatment planning.
Detects over 60 tooth conditions in 3D images and 40+ in 2D images using AI algorithms.
Generates detailed and visual reports on CBCT, panoramic, and intraoral images.
Allows for viewing CBCT scans in multiple planes for comprehensive analysis.
Enables the superimposition of different scans for comparative analysis over time.
Improving patient understanding and acceptance of treatment during initial consultations.
Step 1: Upload the patient's CBCT scan to Diagnocat.
Step 2: Generate a patient-friendly report highlighting key findings.
Step 3: Review the report with the patient, explaining the detected conditions.
Step 4: Discuss treatment options based on the AI-assisted diagnosis.
Improving the accuracy and efficiency of implant planning.
Step 1: Upload the patient's CBCT scan to Diagnocat.
Step 2: Use Diagnocat's segmentation feature to create a 3D model of the jawbone.
Step 3: Plan the implant placement using the 3D model.
Step 4: Export the plan to implant planning software.
Automating cephalometric analysis and treatment planning for orthodontic cases.
Step 1: Upload the patient's cephalometric X-ray to Diagnocat.
Step 2: Diagnocat automatically identifies anatomical landmarks.
Step 3: Review and adjust the identified landmarks if necessary.
Step 4: Generate a report with cephalometric measurements and treatment recommendations.
Assessing periodontal bone loss and identifying areas of concern.
Step 1: Upload the patient's panoramic X-ray to Diagnocat.
Step 2: Diagnocat analyzes the image and identifies areas of bone loss.
Step 3: Review the findings and assess the severity of periodontal disease.
Step 4: Develop a treatment plan based on the assessment.
Identifying missed canals and periapical lesions in endodontic cases.
Step 1: Upload the patient's periapical X-ray to Diagnocat.
Step 2: Diagnocat analyzes the image and highlights potential missed canals.
Step 3: Examine the image for periapical lesions.
Step 4: Plan endodontic treatment based on the findings.
Create an account at https://diagnocat.com/
Verify your email address.
Upload a dental image (X-ray, OPG, or CBCT).
Select the type of report you need.
Allow Diagnocat to automatically analyze the image.
Review the generated report with detected conditions.
Download the report in PDF format.
All Set
Ready to go
Verified feedback from other users.
“Diagnocat is viewed positively for its ability to streamline workflows and enhance patient communication through AI-powered dental image analysis. It is seen as a helpful tool for diagnosis and treatment planning.”
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