V5med Lung AI
K242919V5med Inc. · cleared 2025-03-27 · product code OEB · Radiology
Premarket evidence — what FDA accepted
source quote (p.4)
“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.”
source quote (p.6)
“The detection model is trained using a Deep Convolutional Neural Network (CNN) based algorithm, enabling automatic detection of lung nodules ranging from 4 to 30 mm in chest CT images.”
Validation studies (3)
Bench
sample size not stated
standards: General Principles of Software Validation; Final Guidance for Industry and FDA Staff (January 11, 2002), Guidance for the Content of Premarket Submissions for Device Software Functions. (June 14, 2023), IEC 62304:2006/Amd 1:2015 - Medical device software-software life cycle processes
Standalone
sample size not stated
endpoints: detection accuracy
Reader study (MRMC)
n=340 scans
endpoints: area under the curve (AUC) of the localization-specific receiver operating characteristic (LROC) response; Radiologist interpretation times
Reported performance (1 observation)
source quote (p.11)
“AUC 0.830”
Each value carries its own analysis unit and task — never compare or pool across devices. Source: 510(k) summary PDF.
Predicate network
Postmarket — what happened after clearance
Recall and MAUDE counts are product-code-level (reports aren't reliably attributable to one device). Signals are descriptive observables with sources — never a judgment that the device is unsafe or drifting. Snapshot 2026-07-08.
Reimbursement — how devices like this got paid
Not yet tracked — no payment pathway indexed for this clearance (the reimbursement corpus is a growing seed set).