Cleared Traditional

K253690 - LungMaps

K253690 is an FDA 510(k) clearance for LungMaps, manufactured by Siemens Healthineers AG. The device is a Class 2 Radiology device with product code QIH cleared through the Traditional 510(k) pathway after a 206-day FDA review.

K253690 · Siemens Healthineers AG · Radiology device
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Jun 2026
Decision
206d
Days
Class 2
Risk

K253690 is an FDA 510(k) clearance for the LungMaps. Classified as Automated Radiological Image Processing Software within the QIH classification (a category dominated by AI-based automated radiology processing systems), Class II - Special Controls.

Submitted by Siemens Healthineers AG (Forchheim, DE). The FDA issued a Cleared decision on June 15, 2026 after a review of 206 days - an extended review cycle.

This device falls under the Radiology FDA review panel, regulated under 21 CFR 892.2050 - the FDA radiology and imaging software oversight framework. The Traditional 510(k) pathway establishes clearance through substantial equivalence to a legally marketed predicate device, without requiring clinical trial data.

Device pattern: Incremental AI imaging tool. Moderate-to-high equivalence dependency. Overall, this clearance reflects a predicate-aligned approval typical of modern AI radiology extensions - not a novel clinical breakthrough, but a validated iteration within an established regulatory category.

View all Siemens Healthineers AG devices

FDA 510(k) Submission Details - K253690

510(k) Number K253690 FDA.gov
FDA Decision Cleared Substantially Equivalent - Traditional 510(k) (SESE)
Date Received November 21, 2025
Decision Date June 15, 2026
Days to Decision 206 days
Submission Type Traditional
Review Panel Radiology (RA)
Summary Summary PDF
Third-party Review No - reviewed directly by FDA
Combination Product No
PCCP Authorized No
Regulatory Context
Review time vs. panel average
99d slower than avg
Panel avg: 107d · This submission: 206d
Pathway characteristics
Predicate-based equivalence. No clinical trials required.

QIH Device Classification - Class 2, Special Controls

Product Code QIH Automated Radiological Image Processing Software
Device Class Class 2 - Special Controls
CFR Regulation 21 CFR 892.2050
Definition 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.
What this classification means

Class II devices require demonstration of substantial equivalence to a legally marketed predicate device. This pathway does not require clinical trials - it relies on engineering equivalence and performance data. Most Radiology devices follow this clearance model.

Regulatory Consultant

Siemens Medical Solutions USA, Inc.
Milind Dhamankar

The regulatory consultant manages the 510(k) submission process on behalf of the applicant - coordinating technical documentation, predicate strategy and FDA communications. Identifying the consultant behind a submission is a key signal for competitive regulatory intelligence.

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