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Devices · Digestaid - Artificial Intelligence Development SA

Deep Capsule® (Deep Capsule US)

510(k)K250655Gastroenterology-UrologyQZF

Digestaid - Artificial Intelligence Development SA is listed for Deep Capsule® (Deep Capsule US) (K250655). The FDA list gives March 12, 2026 as the date of the final decision. The lead panel is Gastroenterology-Urology, and the database link on the FDA list is the 510(k) pathway. openFDA describes product code QZF as “Gastrointestinal Capsule Endoscopy Analysis Software Device”: A gastrointestinal capsule endoscopy analysis software device is used to analyze pre-recorded capsule endoscopy videos of the gastrointestinal tract that are suspected of containing lesions. This device uses software algorithms to identify images and areas of interest as outputs to aid the clinician in analyzing suspected lesions, for clinician review of device outputs. The device may contain hardware to support interfacing with a capsule imaging system. 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=K250655

Official FDA database record

Date of final decision
March 12, 2026
Company on the FDA list
Digestaid - Artificial Intelligence Development SA
Lead panel
Gastroenterology-Urology
Primary product code
QZF
openFDA device name for the code
Gastrointestinal Capsule Endoscopy Analysis Software Device
Device class
2
Regulation number
876.1540
openFDA decision description
Substantially Equivalent
openFDA decision code
SESE
Statement or summary label
Summary

Product-code text from openFDA

A gastrointestinal capsule endoscopy analysis software device is used to analyze pre-recorded capsule endoscopy videos of the gastrointestinal tract that are suspected of containing lesions. This device uses software algorithms to identify images and areas of interest as outputs to aid the clinician in analyzing suspected lesions, for clinician review of device outputs. The device may contain hardware to support interfacing with a capsule imaging system.