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Automated Diagnosis of Orthopedic Images with AI

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    Year of implementation
    2022
    Industry
    Healthcare

    Network of medical centers specialized in orthopedic diagnostics and treatment, with a nationwide presence and an innovative to healthcare.

    Approach and methodology

    We developed a Big Data system on HCA, integrating PACS systems to collect and store radiological images. Using medical reports, we trained a Machine Learning model to support orthopedic diagnosis, ensuring secure data access, improved accuracy, enhanced decision-making, and a more efficient, optimized workflow.

    Staff involved in the project
    3 Specialists
    Execution time
    5 Months
    Technologies used
    • Azure Data Lake
    • Azure Search
    • Azure Synapse
    • Databricks
    • DCOM
    • PAX
    • Vue.js
    94
    %
    AI model accuracy
    2
    sec
    Average time to archive an image
    -40
    %
    Reduction of the average reporting time

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