Cleared Traditional

Bladder AI (AIBV01) (K230497) - FDA 510(k) Clearance

Class II Radiology device cleared through predicate-based substantial equivalence - typically does not require clinical trials.

K230497 · Exo, Inc. · Radiology device
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Jun 2023
Decision
118d
Days
Class 2
Risk

K230497 is an FDA 510(k) clearance for the Bladder AI (AIBV01). 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 Exo, Inc. (Santa Clara, US). The FDA issued a Cleared decision on June 22, 2023 after a review of 118 days - within the typical 510(k) review window.

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 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 Exo, Inc. devices

Submission Details

510(k) Number K230497 FDA.gov
FDA Decision Cleared Substantially Equivalent - Traditional 510(k) (SESE)
Date Received February 24, 2023
Decision Date June 22, 2023
Days to Decision 118 days
Submission Type Traditional
Review Panel Radiology (RA)
Summary Summary PDF
Third-party Review No - reviewed directly by FDA
Regulatory Context
Review time vs. panel average
11d slower than avg
Panel avg: 107d · This submission: 118d
Pathway characteristics
Predicate-based equivalence. No clinical trials required.

Device Classification

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.

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