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Ortho System™ for dental retainers and dental cast for sequential aligners is intended for use as a medical front-end device providing tools for management of orthodontic models, systematic inspection, detailed analysis, treatment simulation and virtual appliance design options based on 3D models of the patient's dentition before the start of an orthodontic treatment.

The use of the Ortho System™ requires the user to have the necessary training and domain knowledge in the practice of orthodontics, as well as to have received a dedicated training in the use of the software.

3Shape's Ortho System™ for dental retainers and dental cast for sequential aligners is a software system used for the management of 3D scanned orthodontic models of the patients, orthodontic diagnosis by measuring, analysing, inspecting and visualize 3D scanned orthodontic models, virtual planning of orthodontic treatments by simulating tooth movements, and design of orthodontic appliances based on 3D scanned orthodontic models.

The realization of the orthodontic appliances are done using appliance workflows templates which either supports

• . (Retainers and dental casts for sequential aligners) Thermoforming FDA cleared or listed material on a dental cast. The cast is designed and produced by machines and materials included in the appliance workflow template
• (Retainers) Direct production using 3D printer or milling machines with FDA . cleared or listed materials included in the appliance workflow template.

The Ortho System™ appliance workflow templates with approved machines is available through a dedicated download centre by the software. The instruction for use contains instructions for configuration of additive printers.

The actual production of appliances/casts and any thermoforming is done by the user and is under their control and responsibility – only materials specified in the manual must be used to produce the final appliance.

The Ortho System™ has no patient contact being a software.

The provided text is a 510(k) summary for a medical device called "Ortho System™" from 3Shape A/S. It primarily focuses on demonstrating substantial equivalence to a predicate device rather than detailing specific acceptance criteria and performance data for a new AI/algorithm-based device.

Therefore, the document does not contain the information required to answer the questions regarding acceptance criteria, study details, expert involvement, and ground truth establishment.

Here's why and what's missing:

• No Acceptance Criteria or Performance Table: The document states that "All test results have been reviewed and approved, showing the Ortho System™ to be substantially equivalent to the reference devices," but it does not provide a table of acceptance criteria or actual performance metrics (e.g., accuracy, sensitivity, specificity, AUC) like one would expect for an AI/algorithm-based device clearance.
• No Mention of AI/Algorithm Study: The "Ortho System™" is described as a "medical front-end device providing tools for management of orthodontic models, systematic inspection, detailed analysis, treatment simulation and virtual appliance design options..." It's a software system, but not explicitly stated as an AI/ML algorithm that predicts or classifies. The review is based on "software, hardware, and integration verification and validation testing," and a comparison of features with a predicate device.
• No ML Specifics: There is no mention of training sets, test sets, ground truth establishment, expert adjudication, or MRMC studies, which are typical for AI/ML device submissions. The "Clinical Testing" section explicitly states, "Clinical testing is not a requirement and has not been performed."

In summary, the provided FDA 510(k) clearance document for Ortho System™ does not contain the detailed study information, acceptance criteria, or performance data that would be relevant for an AI/ML powered device, as it seems to be cleared based on substantial equivalence to an existing software device with similar functionalities and technical characteristics, rather than a novel AI algorithm requiring specific performance validation metrics.

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The 3Shape Ortho System™ is intended for use as a medical front-end device providing tools for management of orthodontic models, systematic inspection, detailed analysis, treatment simulation and virtual applians (Custom Metal Bands, Export of Models, Indirect Bonding Transfer Media) based on 3D models of the patient's dentition before the start of an orthodontic treatment. It can also be applied during the treatment to inspect and analyze the progress of the treatment. It can be used at the treatment to evaluate if the outcome is consistent with the planned/desired treatment objectives.

The use of the Ortho System™ requires the user to have the necessary training and domain knowledge in the practice of orthodontics, as well as to have received a dedicated training in the use of the software.

3Shape's Ortho System™ is a software system used for the management of 3D scanned orthodontic models of the patients, orthodontic diagnosis by measuring, analysing, inspecting and visualize 3D scanned orthodontic models, virtual planning of orthodontic treatments by simulating tooth movements, virtual placement of orthodontic brackets on the 3D models and design of orthodontic appliances based on 3D scanned orthodontic models, including transfer methods for indirect bonding of brackets. Output includes only Export Model (also called dental casts), Custom Metal Bands (also called metal bands), and Indirect Bonding Transfer Trays (also called orthodontic bracket placement trays). All devices are to be fabricated from FDA cleared materials by third party under the responsibility of the user.

The device has no patient contact.

The provided document does not contain information about specific acceptance criteria, a study proving the device meets those criteria, or a detailed breakdown of test set characteristics like sample size, data provenance, expert ground truth, or adjudication methods.

This document is a 510(k) summary for the 3Shape Ortho System™, which primarily focuses on demonstrating substantial equivalence to a predicate device (K152086). The nonclinical testing section states that "Software, hardware, and integration verification and validation testing was performed" and "All test results have been reviewed and approved, showing the Ortho System™ to be substantially equivalent to the primary predicate device." However, it does not provide details of these tests or their results.

Therefore, I cannot populate the requested tables and information.

Here's what I can extract based on the available text:

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

   • Not provided. The document states that testing was performed to show substantial equivalence, but it does not specify performance metrics or acceptance criteria.

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

   • Not provided. The document mentions "verification and validation testing" but does not specify the sample size of any test sets or the origin/type of data used.

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 provided. There is no mention of expert-established ground truth or the involvement of experts in evaluating the device's performance.

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

   • Not provided.

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 MRMC study was done or reported. The document states, "Clinical testing is not a requirement and has not been performed." This device is software only for orthodontic planning, not an AI diagnostic tool requiring human reader studies.

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

   • Not explicitly detailed for performance metrics. The document implies standalone testing was performed as part of "software, hardware, and integration verification and validation testing," but it does not provide specific performance results for the algorithm itself.

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

   • Not provided.

8. The sample size for the training set

   • Not applicable / Not provided. This document describes a software system, not a machine learning model that would typically have a "training set" in the context of deep learning. It's a "front-end device providing tools."

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

   • Not applicable / Not provided. (See point 8)

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