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    Artificial intelligence in orthodontics

    The customer is a dental clinic in western Ukraine.

    Objectives
    Create a neural network to determine the type of bite in children and adults.
    Implement automatic selection of treatment methods and recommendations for the specialist.

    Solutions

    With the help of computer vision, which is able to determine all the conditions (shapes) of teeth and compare them with the database, you can quickly identify abnormalities and provide recommendations. For more accurate diagnosis, you can use specialized medical scanners for the oral cavity. 

    Result

    Created system has been integrated into the CRM system and allows to edit the diagnosis or method of treatment in case the international medical recommendations change. This is convenient for the first (internal) testing of the product, because for higher accuracy requires more source data (so-called Data set).

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    Our best recent work

    Orthodontic CRM-system

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