K-numberK243633
Device nameBrainlab Elements (7.0); Brainlab Elements Image Fusion (5.0); Brainlab Elements Image Fusion Angio (1.0); Brainlab Elements Contouring (5.0); Brainlab Elements Fibertracking (3.0); Brainlab Elements BOLD MRI Mapping (1.0)
ApplicantBrainlab AG
Product codeQIH
Device classClass II
Decision dateJun 13, 2025
DecisionSubstantially Equivalent
Regulation892.2050
AI Summary extracted from FDA summary PDF · never regenerated
Intended use

Brainlab Elements 7.0 is a suite of medical image processing software applications for surgical and radiotherapy treatment planning. It includes Image Fusion (rigid and deformable image registration), Image Fusion Angio (cerebrovascular image co-registration), Contouring (anatomical structure segmentation with AI-assisted tumor detection), Fibertracking (white matter tract visualization), and BOLD MRI Mapping (functional activation analysis). The software is not intended for diagnostic purposes and supports cranial and extracranial surgical planning and radiotherapy treatment planning.

Technological characteristics

The subject device maintains core functionality of the predicate (Image Fusion 4.5, Contouring 4.5, Fibertracking 2.0, Image Fusion Angio 1.0, BOLD MRI Mapping 1.0) with enhancements including: support for ultrasound in virtual iMRI calculations, automatic tumor segmentation using machine learning, probabilistic tracking algorithms (CSD) alongside deterministic tracking, blending mode for multi-modal visualization, automatic resection cavity segmentation, and expanded operating system support (Windows Server 2022). Hardware requirements increased to support advanced features (e.g., GPU requirements for AI tumor segmentation).

Test standards cited

Not stated in this summary.

Substantial equivalence argument

Brainlab Elements 7.0 is substantially equivalent because it maintains the same indications for use, intended user profiles, and clinical applications as the predicate device (K223106). Although new features were added (AI tumor segmentation, probabilistic tracking, ultrasound support), these represent enhancements to existing functional categories rather than fundamentally new intended uses. The device operates on the same DICOM image data, uses the same registration and visualization methodologies, and is deployed in identical clinical environments (hospital surgical and radiotherapy planning rooms). Performance validation confirmed that new features (e.g., AI tumor segmentation with Dice ≥0.7, CSD tracking algorithms) function as intended and do not introduce new risks or change the device's role in treatment planning workflows.

Extracted by AI from the official FDA summary PDF →
Source

View the full FDA submission: accessdata.fda.gov

Researching this as a predicate?
Want a transparent AI-ranking score, AI-discovered related predicates, ongoing safety and warning-letter monitoring, full predicate chain lineage, and a drafted SE rationale — all saved to your own project? That's what an account adds.
Start free trial →

Everything you need for a 510(k) submission. Nothing you don't.

14-day free trial. No setup. Cancel anytime.

Start free trial →
Building an AI or ML-enabled device? Predicate search, PCCP tracking, and AI-specific FDA intelligence — built exclusively for AI/ML devices. Try AIFDA Intel →