Dento-craniofacial clinical cognitive diagnosis and treatment system and method
AssigneeDigibrain4, Inc.
InventorsBudi Kusnoto, Ahmed Kaboudan, Christoph Peter Bourauel, Sameh Mohamed Talaat Taha Mohamed
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Abstract
This present system and method provide artificial intelligence systems and methods for automatic identification, localization, recognition, understanding, labelling, analyzing, assessing, deciding and planning related to dento-craniofacial visual assets (‘DCVA’) for creating a report for patient treatment and consultation.
Claims10
1) A method for automatically recognizing, classifying and processing dento-craniofacial visual assets by a processor-based machine using machine learning steps to provide results for treatment of a patient in a report, comprising:
- receiving dento-craniofacial visual asset images from a machine;
- inserting the visual asset images obtained by the machine into a search engine wherein the search engine recognizes, classifies and labels each of the visual asset images;
- wherein the processor-based machine compares the visual assets images inserted into the machine to a database of existing visual asset images already in the database of the machine;
- and
- providing a report for a treatment analysis based on the comparison between the inserted visual asset images and the existing visual asset images already in the database.
5) A deep learning method for searching visual big-data and generating a report for analysis, comprising the step of:
- searching a dento-craniofacial visual asset repository using accepted dental terminology to return only a searched for visual asset;
- discriminating between an upper arch and a lower arch and teeth assets;
- and
- further discriminating between a right side visual asset and a left side visual asset.
Dependencies are inferred from the claim text.