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The 16ch T/R Hand Wrist Coil is intended for use with GE 1.5T MR systems to produce diagnostic images of the hand and wrist that can be interpreted by a trained physician.

The 16ch T/R Hand Wrist Coil is a transmit/receive, 16-channel phased array coil designed for magnetic resonance imaging (MRI) using the GE 1.5T MR systems. The 16ch T/R Hand Wrist Coil is intended to be used for imaging the hand and wrist.

The 16ch T/R Hand Wrist Coil is a reusable, non-invasive device with limited exposure with regard to duration of contact with the body. All coil elements are enclosed in a rigid plastic housing, which is fire-rated, has impact and tensile strength, and has been tested for biocompatibility.

The provided text is a 510(k) summary for a medical device (16ch T/R Hand Wrist Coil) and does not describe an AI/ML powered device or a study involving such a device where acceptance criteria are set for AI performance metrics. Instead, it describes performance testing for a magnetic resonance imaging (MRI) coil.

Therefore, I cannot extract the requested information regarding AI device acceptance criteria, study details, sample sizes for test/training sets, expert qualifications, adjudication methods, MRMC studies, or standalone algorithm performance.

The document discusses various performance tests relevant to an MRI coil, which are outlined below for completeness, but these do not directly address the prompt's request for AI device specific information.

1. Table of Acceptance Criteria and Reported Device Performance (Non-AI related):

The following information cannot be extracted from the provided text as it pertains to AI/ML powered devices, which is not the subject of this 510(k) summary:

• Sample sizes used for the test set and the data provenance: Not applicable to a physical MRI coil. Clinical images were obtained from volunteer scanning, but the sample size is not specified for the diagnostic quality assessment.
• Number of experts used to establish the ground truth for the test set and the qualifications of those experts: Not applicable. The "ground truth" for an MRI coil is its ability to produce good images for clinical interpretation, not an AI-derived diagnosis. The images are interpreted by a "trained physician".
• Adjudication method: Not applicable.
• 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: Not applicable.
• If a standalone (i.e., algorithm only without human-in-the-loop performance) was done: Not applicable.
• The type of ground truth used: For the clinical image assessment of the coil, the "ground truth" is that the images are of "diagnostic quality" as interpreted by a trained physician. This is an outcome of the coil's performance, not a predefined ground truth for an algorithm.
• The sample size for the training set: Not applicable.
• How the ground truth for the training set was established: Not applicable.

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The 16ch T/R Hand Wrist Coil is intended for use with GE 3.0T MR systems to produce diagnostic images of the hand and wrist that can be interpreted by a trained physician.

The 16ch T/R Hand Wrist Coil is a transmit/receive, 16-channel phased array coil designed for magnetic resonance imaging (MRI) using the GE 3.0T MR systems. The 16ch T/R Hand Wrist Coil is intended to be used for imaging the hand and wrist.

The 16ch T/R Hand Wrist Coil is a reusable, non-invasive device with limited exposure with regard to duration of contact with the body. All coil elements are enclosed in a rigid plastic housing, which is fire-rated, has impact and tensile strength, and has been tested for biocompatibility.

The provided text describes the performance data for the 16ch T/R Hand Wrist Coil, a magnetic resonance diagnostic device. Below is a breakdown of the acceptance criteria and study information:

1. Table of Acceptance Criteria and Reported Device Performance

2. Sample Size Used for the Test Set and Data Provenance

• Sample Size: Not explicitly stated for the "clinical images from volunteer scanning." The term "volunteer scanning" suggests a prospective collection of data.
• Data Provenance: The document states "clinical images from volunteer scanning of the hand and wrist were obtained from the 16ch T/R Hand Wrist coil." The specific country of origin is not mentioned, but the manufacturing company (Quality Electrodynamics, LLC.) is based in the USA.

3. Number of Experts Used to Establish the Ground Truth for the Test Set and Qualifications

• Number of Experts: Not specified.
• Qualifications of Experts: The document states images "can be interpreted by a trained physician," but does not specify the qualifications of the physician(s) who established ground truth for the test set.

4. Adjudication Method for the Test Set

• The document does not describe an adjudication method for the test set. It mentions images were used to "demonstrate that the 16ch T/R Hand Wrist coil produces diagnostic quality images," implying an assessment of image quality, but not a specific adjudication process involving multiple readers or complex diagnostic decision-making.

5. Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study

• The document does not mention that an MRMC comparative effectiveness study was done.
• The study focuses on the coil's performance in isolation ("standalone") to demonstrate its ability to produce diagnostic quality images.

6. Standalone Performance (Algorithm Only without Human-in-the-Loop Performance)

• Yes, a standalone performance assessment was conducted for the device itself and its physical and image quality characteristics. The bench testing (SNR, uniformity) and the clinical imaging demonstrating diagnostic quality are evaluations of the device's inherent performance. There's no AI algorithm mentioned, so "algorithm only" isn't directly applicable in the usual sense for AI/ML devices. Instead, it's the raw performance of the imaging hardware.

7. Type of Ground Truth Used for the Test Set

• The ground truth for the clinical image quality assessment appears to be based on an expert assessment of "diagnostic quality." This implies a qualitative judgment by a presumably trained physician (as per the Indications for Use) that the images are sufficient for diagnosis. It is not pathology, or explicit outcomes data.

8. Sample Size for the Training Set

• No training set is applicable or mentioned in the context of this device. This is a medical device for MR imaging hardware (a coil), not an AI/ML algorithm that requires a training set.

9. How the Ground Truth for the Training Set Was Established

• Not applicable as there is no training set for this device.

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