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Devices · Brainlab AG

Brainlab 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)

510(k)K243633RadiologyQIH

Brainlab AG is listed for Brainlab 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) (K243633). The FDA list gives June 13, 2025 as the date of the final decision. The lead panel is Radiology, and the database link on the FDA list is the 510(k) pathway. openFDA describes product code QIH as “Automated Radiological Image Processing Software”: To provide automated radiological image processing and analysis tools. Software implementing artificial intelligence including nonadaptive machine learning algorithms trained with clinical and/or artificial data. In these devices, the algorithm training data typically impacts device performance. Adaptive AI algorithms are not within scope of this product code. openFDA records this submission’s decision description as “Substantially Equivalent.” This paragraph is assembled only from those public fields. It is not an FDA review, not a determination of safety or effectiveness, and not medical advice. Official record: https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfPMN/pmn.cfm?ID=K243633

Official FDA database record

Date of final decision
June 13, 2025
Company on the FDA list
Brainlab AG
Lead panel
Radiology
Primary product code
QIH
openFDA device name for the code
Automated Radiological Image Processing Software
Device class
2
Regulation number
892.2050
openFDA decision description
Substantially Equivalent
openFDA decision code
SESE
Statement or summary label
Summary

Product-code text from openFDA

To provide automated radiological image processing and analysis tools. Software implementing artificial intelligence including nonadaptive machine learning algorithms trained with clinical and/or artificial data. In these devices, the algorithm training data typically impacts device performance. Adaptive AI algorithms are not within scope of this product code.

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