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Devices · Ibex Medical Analytics Ltd.

Galen™ Second Read™

510(k)K241232PathologyQPN

Ibex Medical Analytics Ltd. is listed for Galen™ Second Read™ (K241232). The FDA list gives January 24, 2025 as the date of the final decision. The lead panel is Pathology, and the database link on the FDA list is the 510(k) pathway. openFDA describes product code QPN as “Software Algorithm Device To Assist Users In Digital Pathology”: A software algorithm device to assist users in digital pathology is an in vitro diagnostic device intended to evaluate acquired scanned pathology whole slide images. The device uses software algorithms to provide information to the user about presence, location, and characteristics of areas of the image with clinical implications. Information from this device is intended to assist the user in determining a pathology diagnosis. 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=K241232

Official FDA database record

Date of final decision
January 24, 2025
Company on the FDA list
Ibex Medical Analytics Ltd.
Lead panel
Pathology
Primary product code
QPN
openFDA device name for the code
Software Algorithm Device To Assist Users In Digital Pathology
Device class
2
Regulation number
864.3750
openFDA decision description
Substantially Equivalent
openFDA decision code
SESE
Statement or summary label
Summary

Product-code text from openFDA

A software algorithm device to assist users in digital pathology is an in vitro diagnostic device intended to evaluate acquired scanned pathology whole slide images. The device uses software algorithms to provide information to the user about presence, location, and characteristics of areas of the image with clinical implications. Information from this device is intended to assist the user in determining a pathology diagnosis.