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The Coronis 2MP Medical Flat Panel Display System is intended to be used in displaying and viewing digital images (excluding digital mammography) for review and analysis by trained medical practitioners.

Color Coronis 2MP is a digital image display system. The Color Coronis 2MP device consists of components to provide high resolution visualization of digital images.

The provided text describes a 510(k) premarket notification for the "Color Coronis 2MP Medical Flat Panel Display System". This document is a regulatory approval letter and summary, not a study report detailing performance against acceptance criteria. Therefore, most of the requested information regarding performance, sample sizes, expert qualifications, and study methodologies is not present in the provided text.

Here's what can be extracted and what cannot:

1. Table of acceptance criteria and reported device performance:

The document does not specify quantitative acceptance criteria or report specific performance metrics for the device. Instead, it focuses on the device's substantial equivalence to a legally marketed predicate device.

2. Sample size used for the test set and the data provenance:

Not specified in the provided text. The document refers to a "study" implicitly through the 510(k) process, but details of any specific clinical or technical test set are absent.

3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts:

Not specified in the provided text.

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

Not specified in the provided text.

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:

Not applicable. The device is a medical display system, not an AI-assisted diagnostic tool. Therefore, an MRMC study comparing human readers with and without AI assistance is irrelevant to this device.

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

Not applicable. The device is a display system, not an algorithm.

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

Not specified or applicable in the provided context for a display system.

8. The sample size for the training set:

Not applicable. As a display system, it does not typically involve a "training set" in the context of machine learning or diagnostic algorithms.

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

Not applicable for the reasons mentioned above.

In summary, the provided document is a regulatory approval for a medical display system based on substantial equivalence, not a detailed technical or clinical study report. Therefore, it does not contain the information requested regarding acceptance criteria, study methodologies, or performance metrics.

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The Barco Coronis 2MP Medical Flat Panel Display System is intended to be used in displaying and viewing digital images for review by trained medical practitioners.

The Coronis 2MP Medical Flat Panel Display System is intended to be used in displaying and viewing digital images for review and analysis by trained medical practitioners.

The Coronis 2MP device is a digital image display system

The Barco Coronis 2MP device consists of components to provide high resolution visualization of digital images.

The provided text is a 510(k) summary for the Barco Coronis 2MP Medical Flat Panel Display System, which is an image display system. The document does not contain specific acceptance criteria, performance data, or details of a study that proves the device meets acceptance criteria in the way typically expected for an AI/algorithm-based medical device.

This document describes a medical display system (hardware), not an AI algorithm. Therefore, many of the requested elements (like sample sizes for test/training sets, expert qualifications for ground truth, MRMC studies, standalone algorithm performance, and ground truth establishment) are not applicable or would not be found in such a submission for a display device.

However, I can extract the information that is present and indicate where the requested information is not available:

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

The submission acts as a declaration that the Barco Coronis 2MP Medical Flat Panel Display System is "substantially equivalent" to a legally marketed predicate device (Barco NV Display Systems Coronis 3MP Medical Flat Panel Display System (K013922)). For a display system, acceptance criteria are generally related to display characteristics (resolution, brightness, contrast, uniformity, viewing angle, stability, calibration capabilities, etc.) and compliance with relevant medical display standards (e.g., DICOM Part 14, AAPM TG18). These specific technical performance metrics are not detailed in the provided 510(k) summary. The summary focuses on the device's intended use and classification.

The "reported device performance" is implicitly that it meets the requirements for substantial equivalence to the predicate device for displaying and viewing digital images for review by trained medical practitioners. Specific numerical performance values are not provided in this summary.

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. This is a display system, not an algorithm being tested on a clinical image dataset.

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)

Not applicable. This is a display system. "Ground truth" in the context of image interpretation by experts is not relevant here.

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

Not applicable.

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

Not applicable. This is a display system, and it is not an AI-assisted device.

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

Not applicable. This is a display system, not an algorithm.

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

Not applicable.

8. The sample size for the training set

Not applicable. This is a display system, not an algorithm that undergoes training.

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

Not applicable.

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