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Dentomo leverages cutting-edge Deep Learning technology to revolutionize dental diagnostics. The software’s foundation includes an extensive dataset comprising 20,000 Cone Beam Computed Tomography (CBCT) images, 2,000 meticulously tagged images by experts, and a specialized subset of 28,000 teeth images. This robust dataset forms the backbone of Dentomo’s unparalleled precision in identifying dental features and pathologies..
Dentomo excels in advanced detection, offering precise identification of various dental elements and pathologies. The software reliably identifies:
Accurate determination of the position and number of dental pieces.
Detection of four major dental pathologies – caries, abrasion, impact, and dystopia.
Recognition of eight previously administered treatments, such as bridges and crowns.
Comprehensive visualization of the oral cavity, including identification of missing teeth.
Dentomo excels in advanced detection, offering precise identification of various dental elements and pathologies. The software reliably identifies:
Streamlined management of patient CBCT records for efficient access to patient history and data.
A comprehensive diagnosis of a patient’s mouth in a single view, with the capability to generate customized treatment plans.
Easy access and standardized viewing of CBCT images through an integrated DICOM viewer.
A library of interactive 3D dental models aids in patient education and facilitates treatment planning.
Dentomo goes beyond being a standalone application, offering flexible integration options to adapt to diverse dental environments. Key integration features include:
API Availability
Well-documented APIs enable seamless integration with existing systems, such as PACS software or other third-party dental software.
Ecosystem Integration
Practices and hospitals can effortlessly leverage Dentomo’s AI-powered insights within their existing ecosystems, enhancing overall operational efficiency.
In accordance with the regulation 2021/2226 article 7, the history of the user instructions in electronic version is available to the users.
2023
2022
2020