(223 days)
The Single Use Reloadable Clip Applicators and Clips have been designed to be used with an Olympus endoscope for endoscopic Clip placement within the gastrointestinal (GI) tract in adult patients only for the purpose of
(1) Endoscopic marking,
(2) Hemostasis for
(a) Mucosal/sub-mucosal defects
The Single Use Reloadable Clip Applicators and Clips have been designed to be used with an Olympus endoscope for endoscopic Clip placement within the gastrointestinal (GI) tract in adult patients only for the purpose of
(1) Endoscopic marking,
(2) Hemostasis for
(a) Mucosal/sub-mucosal defects
This is a traditional 510(k) submission for a medical device (Single Use Reloadable Clip Applicators and Clips) and not an AI/ML medical device. Therefore, the information regarding acceptance criteria and study proving AI/ML device performance (e.g., sample size, expert ground truth, MRMC studies) is not applicable or present in the provided text.
The provided document describes the predicate device and the new device, and focuses on demonstrating substantial equivalence primarily through non-clinical performance data (sterilization/shelf life, biocompatibility, and bench testing). No clinical or animal studies were conducted.
Here's how the provided information relates to your request, with a clear indication of what is not present because it's not an AI/ML device:
1. A table of acceptance criteria and the reported device performance:
The document mentions that "The design verification tests and their acceptance criteria were identified and performed as a result of this risk analysis assessment" (Section 5.7 (6)). However, it does not provide a specific table laying out the acceptance criteria and the reported performance results for each test. It lists the types of performance tests conducted:
- Performance Tests Performed (Bench Testing):
- Insertability
- Clip opening width
- Clip rotatability
- Clip capability
- Withdrawal from endoscope
- Applicator repetition
- Endoscope compatibility
- Clip tail length
- Retention capability
- MRI testing
- Package integrity testing
- Mechanical testing
The document states these tests were conducted "to ensure that the subject device performs as intended and meet design specifications," implying they met the internal acceptance criteria, but the specific values or thresholds are not detailed.
Regarding your other points (which are highly relevant for AI/ML devices but not for this traditional device):
2. Sample size used for the test set and the data provenance (e.g. country of origin of the data, retrospective or prospective):
- Not Applicable/Not Provided for this device. This device did not undergo clinical or animal studies for substantial equivalence. Bench testing data is typically generated in a lab setting, not from patient data.
3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts:
- Not Applicable. Ground truth, in the context of expert review for diagnostic AI, is not relevant for this device. Its performance is evaluated through physical and mechanical bench tests, not through expert interpretation of data.
4. Adjudication method (e.g. 2+1, 3+1, none) for the test set:
- Not Applicable. No expert review or adjudication process is mentioned, as it's not relevant for this type of device's performance evaluation.
5. If a multi reader multi case (MRMC) comparative effectiveness study was done, If so, what was the effect size of how much human readers improve with AI vs without AI assistance:
- No, an MRMC study was NOT done. This is a mechanical device, not an AI-assisted diagnostic tool.
6. If a standalone (i.e. algorithm only without human-in-the-loop performance) was done:
- Not Applicable. This is a physical medical device, not an algorithm.
7. The type of ground truth used (expert consensus, pathology, outcomes data, etc.):
- Not Applicable. The "ground truth" for this device's performance is derived from physical measurements and engineering specifications in bench testing, not clinical outcomes or expert interpretation of patient data.
8. The sample size for the training set:
- Not Applicable. This is not an AI/ML device, so there is no training set mentioned.
9. How the ground truth for the training set was established:
- Not Applicable. As there's no training set, there's no ground truth establishment process for it.
In summary: The provided document is a 510(k) premarket notification for a traditional, non-AI medical device (surgical clips and applicators). Therefore, the detailed requirements for AI/ML device performance studies, such as data provenance, expert ground truth, MRMC studies, and training set information, are not present or applicable. The submission relies on non-clinical (bench) testing, sterilization, and biocompatibility data to demonstrate substantial equivalence to a predicate device.
§ 876.4400 Hemorrhoidal ligator.
(a)
Identification. A hemorrhoidal ligator is a device used to cut off the blood flow to hemorrhoidal tissue by means of a ligature or band placed around the hemorrhoid.(b)
Classification. Class II (special controls). Except for a hemostatic metal clip intended for use in the gastrointestinal tract, the device is exempt from the premarket notification procedures in subpart E of part 807 of this chapter subject to the limitations in § 876.9.