Intended Use

V5med Lung AI is a Computer-Aided Detection (CAD) software designed to assist radiologists in detecting pulmonary nodules (with diameter of 4-30 mm) during CT examinations of the chest for asymptomatic populations. It provides adjunctive information to alert radiologists to regions of interest with suspected lung nodules that may otherwise be overlooked, used in concurrent read mode alongside original CT images.

Technology

V5med Lung AI uses a Deep Convolutional Neural Network (CNN)-based algorithm to automatically detect lung nodules from 4 to 30 mm in chest CT images. The system integrates algorithm and database on a single server, accepts chest CT images from PACS, RIS, or CT scanners, and outputs annotations of nodules. It supports multi-vendor CT scanners and non-contrast images, providing DICOM GSPS output for visualization.

Performance

Performance testing included software validation with unit, system, and integration testing confirming functional correctness and stability. Measurement accuracy was validated on phantom and clinical data. A pivotal multi-reader multi-case (MRMC) clinical study with 16 radiologists and 340 chest CT scans demonstrated that using V5med Lung AI significantly improved radiologist nodule detection performance (AUC increase from 0.734 to 0.830) and reduced reading time by 13%.

Predicate Devices

No predicate devices specified

Device Timeline

  • 1

    Submission

    9/24/2024

    6 months
  • 2

    FDA Approval

    3/27/2025

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