LungVision
K240943BodyVision Medical Ltd. · cleared 2024-10-01 · product code QIH · Radiology
Premarket evidence — what FDA accepted
source quote (p.5)
“The LungVision system includes a main unit and a tablet. Image processing algorithms are executed on the main unit and the tablet is used as a primary method of interacting with the system. LungVision includes hardware and complies with ANSI/AAMI/ES 60601-1:2005(2012) and IEC 60601-1-2:2014. AI-driven intraoperative tomographic imaging”
source quote (p.5)
“AI-driven intraoperative tomographic imaging. CABT is a limited angle tomography based on the SIRT algorithm”
Validation studies (5)
Bench
sample size not stated
Bench
sample size not stated
Bench
n=500 cases
endpoints: mean accuracy
Bench
n=93 cases
endpoints: mean accuracy
Retrospective clinical
n=191 cases · 3 site(s)
endpoints: mean accuracy; lesion marking accuracy
Reported performance (3 observations)
source quote (p.8)
“The mean accuracy calculated for 500 cases is 3.15 mm with 3.2 mm std.”
source quote (p.8)
“The mean accuracy calculated for 93 cases is 3.64 mm with 1.57 mm std.”
source quote (p.8)
“The mean accuracy calculated for 191 cases is 5.34 mm with 3.32 mm std”
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).