K Number
K984604
Manufacturer
Date Cleared
1999-02-02

(36 days)

Product Code
Regulation Number
862.1660
Panel
CH
Reference & Predicate Devices
Predicate For
N/A
AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
Intended Use

Architect Estradiol MasterCheck is intended for use in the verification of sensitivity, calibration linearity, and reportable range of the Estradiol assay on the Abbott Architect i System.

Device Description

Architect Estradiol MasterCheck Level 0 contains TRIS buffer with protein (bovine) stabilizers.

Architect Estradiol MasterCheck Levels 1, 2, 3 and 4 contain estradiol prepared in TRIS buffer with protein (bovine) stabilizers.

Preservative: Antimicrobial Agent.

AI/ML Overview

This document is a 510(k) summary for the Bio-Rad Architect Estradiol MasterCheck and does not contain the detailed information necessary to fully answer all aspects of your request regarding acceptance criteria and a study demonstrating the device meets those criteria.

The document primarily focuses on establishing substantial equivalence to a predicate device for regulatory approval. It does not include:

  • A table of specific acceptance criteria (e.g., performance metrics, thresholds) for the device's function (sensitivity, calibration linearity, reportable range verification).
  • Details of a study proving the device meets specific predefined acceptance criteria.
  • Information about sample sizes for a test set, data provenance, expert ground truth establishment, adjudication methods, MRMC studies, or standalone algorithm performance.
  • Information about training sets or their ground truth establishment.

However, based on the provided text, here's what can be extracted:

1. A table of acceptance criteria and the reported device performance

The document does not provide a table of acceptance criteria with numerical performance targets or reported device performance against those targets. The "Statement of Intended Use" on page 0 and "Indications for Use" on page 4 define the intended functions, which implicitly represent the high-level criteria the device is expected to meet:

Acceptance Criterion (Implicit)Reported Device Performance
Verification of sensitivity of the Estradiol assayNot specified in this document
Verification of calibration linearity of the Estradiol assayNot specified in this document
Verification of reportable range of the Estradiol assayNot specified in this document

2. Sample size used for the test set and the data provenance (e.g. country of origin of the data, retrospective or prospective)

This information is not provided in the document.

3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts (e.g. radiologist with 10 years of experience)

This information is not provided in the document.

4. Adjudication method (e.g. 2+1, 3+1, none) for the test set

This information is not provided in the document.

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

This document describes a diagnostic control product, not an AI-assisted diagnostic device, so an MRMC study comparing human readers with and without AI assistance is not applicable and therefore, not performed or mentioned here.

6. If a standalone (i.e. algorithm only without human-in-the-loop performance) was done

This document describes a diagnostic control product, not an algorithm, so standalone algorithm performance is not applicable and therefore, not performed or mentioned here.

7. The type of ground truth used (expert consensus, pathology, outcomes data, etc)

This information is not provided in the document. For a control material, "ground truth" would typically refer to the known, characterized concentrations of analytes within the control materials themselves, established through validated reference methods. However, the details of how these concentrations were established are not described here.

8. The sample size for the training set

This document describes a diagnostic control product, not a machine learning algorithm that requires a training set. Therefore, this question is not applicable.

9. How the ground truth for the training set was established

This question is not applicable as it pertains to machine learning algorithms, which is not the subject of this document.

§ 862.1660 Quality control material (assayed and unassayed).

(a)
Identification. A quality control material (assayed and unassayed) for clinical chemistry is a device intended for medical purposes for use in a test system to estimate test precision and to detect systematic analytical deviations that may arise from reagent or analytical instrument variation. A quality control material (assayed and unassayed) may be used for proficiency testing in interlaboratory surveys. This generic type of device includes controls (assayed and unassayed) for blood gases, electrolytes, enzymes, multianalytes (all kinds), single (specified) analytes, or urinalysis controls.(b)
Classification. Class I (general controls). Except when intended for use in donor screening tests, quality control materials (assayed and unassayed) are exempt from the premarket notification procedures in subpart E of part 807 of this chapter subject to the limitations in § 862.9.