Diagnocat

We make diagnosis in dentistry error-free

Diagnocat is an innovative software product based on artificial intelligence.

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What is Diagnocat?

Diagnocat’s artificial intelligence analyzes 3D dental studies in DICOM format.

In the development of Diagnocat, a database with more than 20,000 depersonalized CBCT studies was used. Such a volume of images enables Diagnocat to use not only machine learning methods, but also deep learning methods (convolutional neural networks).

1
Diagnocat recognizes and segments the main anatomical areas (jaws, teeth, periapical space).
2
It diagnoses various conditions and pathologies based on 122 attributes (norm, filling, crown, implant, periodontitis, etc.)
3
It creates a template of a configurable dental report, automatically creating a panorama and cross-sections of areas of interest.
4
Under each image, it generates a radiological description with a list of all detected findings.

CBCT: challenges faced by dentists and clinics today

Personnel shortages and financial expense

For proper CBCT diagnostics, qualified specialists are needed: x-ray technicians (CT operators) and radiologists (to interpret and describe the images).

In Russia, there is a shortage of specialists in radiological diagnostics. Clinics’ expenses for such personnel are high.

Insufficient time for proper description of images

It takes over 40 minutes for a qualified radiologist to make a complete report of a CBCT study. In reality, a dentist only has a few minutes during an appointment to interpret the images.

As a result, the area of interest is limited to a few teeth, while most other conditions remain undescribed.

Difficulties in diagnostics and medical documentation

CBCT visualization programs are quite complex and are different for various tomograph manufacturers.

Many dentists experience difficulties in recognizing pathologies and correctly reflecting them in medical records.

Monitoring of treatment results

Reading images today is subjective and depends exclusively on the experience and qualification of the dentist.

This can lead to discrepancies in diagnoses and cause difficulties in monitoring prescriptions and treatment plans.

How Diagnocat can help

Diagnocat automatically gives the dentist a high-quality objective description of CBCT images.

Diagnocat makes its analysis more quickly and accurately than is currently possible in most dental clinics, where the images are described "by hand".

Diagnocat helps make an accurate diagnosis and monitor treatment plans at all stages. The history of changes is easily documented in medical records.

Diagnocat helps the dentist to substantiate the treatment plan, while the patient will receive objective data on how successful the treatment was (“before” and “after” images).

Request a free trial
 

Diagnocat automatically gives the dentist a high-quality objective description of CBCT images.

Diagnocat makes its analysis more quickly and accurately than is currently possible in most dental clinics, where the images are described "by hand".

Diagnocat helps make an accurate diagnosis and monitor treatment plans at all stages. The history of changes is easily documented in medical records.

Diagnocat helps the dentist to substantiate the treatment plan, while the patient will receive objective data on how successful the treatment was (“before” and “after” images).

Request a free trial

Radiological Consultants

Dmitriy Rogatskin

Dmitriy Rogatskin

Radiologist
Head of the X-Ray Department of the chain of Ortos dental clinics, Smolensk.
Vasiliy Grachev

Vasiliy Grachev

Radiologist
Chief Doctor of the 3D Lab chain of X-ray diagnostic centers, Moscow.

The team

Vladimir Alexandrovskiy

Vladimir Alexandrovskiy

CEO
Co-founder
Founder and CEO of the Fantasy Group (the Dental Fantasy chain of kid`s dental clinics, Belgravia Dental Studio dentistry chain, Fantasy pediatric polyclinic, and Dental Fantasy Trade – medical and dental equipment sales and services company). PhD in medicine.
Evgeniy Shumilov

Evgeniy Shumilov

Chief Operating Officer
Co-founder
Since 1997 he has worked in various commercial positions in Western companies in Russia. From 2008 to 2014 he worked as CEO at KaVo Dental Russland. In 2015-2017 he opened and led the Russian representative office of the Japanese company Hoya Vision Care.
Evgeniy Nevgen

Evgeniy Nevgen

Investor
Co-founder of Masquerade Technologies, developer of mobile application MSQRD (sold to Facebook). Forbes ranked him among the best "30 Under 30" in the “Consumer Technology" category. Worked at: PandaDoc, SplitMetrics.
Sergey Gonchar

Sergey Gonchar

Investor
Co-founder of Masquerade Technologies, developer of mobile application MSQRD (sold to Facebook).
The US magazine Forbes ranked him among the best global innovators under the age of 30.  
Matvey Ezhov

Matvey Ezhov

Chief Technology Officer
Co-founder
Previously Head of R&D at Ostrovok.ru. 10 years of experience in machine learning and data science.
Adel Zakirov

Adel Zakirov

Machine Learning & Image Processing Engineer
6 years experience in the area of Data Science and 3 years in the area of Medical Image Analysis. Worked at TGT Oil&Gas Services, Innopolis University.
Maxim Gusarev

Maxim Gusarev

Deep Learning Engineer
The author of a unique method of automatic rib suppression on X-ray images, which was presented at the CIBCB international conference. Worked at: Infomed, RoadAR.
Valentin Denisenkov

Valentin Denisenkov

Backend Developer
API development, systems architecture, data pipelines.
Experience in banking, travel industry, biotech.