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The Neocis Guidance System (NGS) is a computerized navigational system intended to provide assistance in both the planning (pre-operative) and the surgical (intra-operative) phases of dental implantation surgery. The system provides software to preoperatively plan dental implantation procedures and provides navigational guidance of the surgical instruments.

In terms of FDA regulations, the Neocis Guidance System (NGS) is a dental stereotaxic instrument (Product Code PLV) and a powered surgical device for bone cutting (21 CFR 872.4120).

In terms of previously FDA-cleared indications for use, the Neocis Guidance System (NGS) (K161399) is a computerized navigational system intended to provide assistance in both the planning (pre-operative) and the surgical (intra-operative) phases of dental implantation surgery. The system provides software to preoperatively plan dental implantation procedures and provides navigational guidance of the surgical instruments.

The system allows the user to plan the surgery virtually in our Neocis Planning Software Application installed on the NGS planning station or on a 3rd party PC (K191363). The operative plan is based on a cone beam computed tomography (CBCT) scan of the patient, which is used to create a 3-D model of the patient anatomy in our planning software. The plan is used by a guidance system to provide physical, visual, and audible feedback to the surgeon during the implant site preparation. The NGS robotic arm holds and guides a standard FDA-cleared powered bone cutting instrument (K191605).

The patient tracking portion of the NGS is comprised of linkages from the patient to the NGS, which include the Chairside Patient Splint (CPS) (K173402), the End Effector (EE) and the Patient Tracker (PT). The Patient Splint is attached to the contralateral side of the patient's mouth over stable teeth. The CPS is placed on the patient using on-label dental materials (K182776) prior to the presurgical CBCT scan. A Fiducial Array (FA) with radio-opaque fiducial markers is placed on the CPS prior to the CBCT scan so the virtual plan can be related to the physical space of the system using the markers. The PT is an electromechanical feedback system that is connected to the CPS on the patient, which relays information to the NGS in order to track patient movement. If patient movement occurs during the surgical procedure, the system will respond by altering the prescribed surgical cutting angle, position, and depth to accommodate the patient movement, which will maintain the accuracy of the osteotomy.

The implant process occurs in two phases: (1) The dental surgeon plans the surgical procedure with the planning software, on the day of surgery or sometime prior if a pre-operative CT scan was taken at an earlier visit. A virtual dental implant, selected from the dental implant library or using a generic model, both contained within our planning software, is placed at the desired location in the patient model. The software highlights critical anatomical structures to avoid, such as the inferior alveolar nerve. (2) When the dental implant plan is optimized, the NGS provides precise and accurate guidance of the dental surgical instruments according to the preoperative plan. The NGS robotic arm, which holds the surgical instrument, provides haptic feedback to the surgeon by constraining the motion of the bone cutting instrument to the plan. This allows the surgeon to feel resistance to attempts at motions that may deviate from the plan. The surgeon may modify the plan intraoperatively, if needed, has direct visualization of the patient anatomy, and is always in control of the surgical instrument.

Key safety features include:

• Emergency stop
• Safety pause
• Audio and visual queues
• Drill torque limits
• Surgeon control

The subject device in this submission is the new Clamped Chairside Patient Splint (C-CPS). The C-CPS offers our users an alternative to acrylic-type dental material affixation. The subject device replaces the acrylic-type dental material locking mechanism of affixation with a clamplike mechanism of affixation using softer dental impression (registration) material, alignment slots, and an approximation screw. The clamping screw is not a bone screw, and it does not interact directly with the patient. The screw is positioned above the teeth inside the splint. The subject device is essentially a CPS (K173402) that has been bisected lengthwise with screw holes and alignment slots in each half to approximate the two halves around the patient's stable teeth. The dental impression material is placed inside the splint to form a tight conformational gripping surface between the splint and the teeth. The dental impression material conforms the shape of the patient's teeth to form a large gripping surface area. The C-CPS initial placement is like a dental impression tray. A torque-brake screwdriver with hex bit is used to tighten and loosen the screw. The proper C-CPS model (left/right or anterior/posterior) should be selected based upon the accommodation of the patient's anatomy and the intended surgical location.

The provided text describes a 510(k) premarket notification for the Neocis Guidance System (NGS) with Clamped Chairside Patient Splint (C-CPS). The submission aims to demonstrate substantial equivalence to a predicate device, the NGS with Chairside Splint (K173402), by introducing a new clamping mechanism for the patient splint.

Here's an analysis of the acceptance criteria and study information provided:

1. Table of Acceptance Criteria and Reported Device Performance:

The document primarily focuses on demonstrating substantial equivalence to the predicate device and lists several identical technological characteristics, including system accuracy specifications.

Explanation of the Acceptance Criteria for the C-CPS:

The main purpose of this submission is the introduction of the Clamped Chairside Patient Splint (C-CPS) as an alternative to the existing Chairside Patient Splint (CPS) (K173402). Therefore, the "acceptance criteria" are not new performance metrics for the overall guidance system, but rather demonstrate that the new C-CPS component does not negatively impact the established performance of the NGS system and meets safety and functional requirements.

The document lists several verification activities to confirm the C-CPS's performance in relation to these system accuracy and functional requirements. These are implicitly the acceptance criteria for the C-CPS module itself:

• Clamped Chairside Patient Splint (C-CPS) Splint Deflection Test with Optical Tracking: (Implicit acceptance: deflection within acceptable limits to maintain system accuracy).
• Clamped Chairside Patient Splint (C-CPS) Pressure Assessment (Teeth): (Implicit acceptance: pressure within safe and effective limits).
• Clamped Chairside Patient Splint (C-CPS) Kinematic Mount Repeatability: (Implicit acceptance: provides consistent and repeatable connection for tracking, contributing to overall system accuracy).
• Clamped Chairside Patient Splint (C-CPS) Pressure Assessment (Soft Tissue): (Implicit acceptance: pressure within safe and effective limits).
• Clamped Chairside Patient Splint (C-CPS) Removal Force Test: (Implicit acceptance: allows for safe and effective removal).
• Clamped Chairside Patient Splint (C-CPS) DOE for Parameter Evaluation: (Implicit acceptance: relevant parameters are optimally defined).
• Clamped Chairside Patient Splint (C-CPS) Screw Failure Test: (Implicit acceptance: screw designed to withstand expected forces without failure).
• Clamped Chairside Patient Splint (C-CPS) Lingual-Buccal Assembly Failure Torque: (Implicit acceptance: assembly maintains integrity under expected torque).
• Dimension Analysis (Clamped Chairside Patient Splint (C-CPS) vs. Chairside Patient Splint (CPS)): (Implicit acceptance: dimensional compatibility and understanding of differences).
• Total System Accuracy: (Implicit acceptance: overall system accuracy, including the C-CPS, remains within the established RMS < 1 mm for lateral/depth and RMS < 6.0° for angular accuracy).

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

The document mentions "Verification" and "Validation" activities, but does not explicitly state the sample sizes or data provenance (country of origin, retrospective/prospective) for these tests.

The "C-CPS Technique Validation: Simulated Clinical Testing" is described as a "nonclinical surrogate that simulates the process of applying, qualitatively evaluating rigidity, and removing a C-CPS directly to a patient." This indicates the testing was likely conducted in a controlled lab environment rather than on actual patients.

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

The document states, "C-CPS Technique Validation: Simulated Clinical Testing... To validate the user requirements of the C-CPS, as performed by a surgeon (end-user)." This implies that at least one "surgeon (end-user)" was involved in the qualitative evaluation. However, the exact number of experts, their qualifications, and how "ground truth" was established are not specified. Given it's a simulated clinical test, the "ground truth" would likely be based on the qualitative assessment of the surgeon(s) performing the task.

4. Adjudication Method for the Test Set:

No adjudication method is described for the verification or validation tests. The qualitative evaluation by a "surgeon (end-user)" suggests a subjective assessment rather than a formal adjudication process using multiple reviewers.

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 comparative effectiveness study was performed or described. The device is a robotically assisted surgical system, not an AI diagnostic tool that assists human readers/interpreters in a diagnostic task. The "AI" component is likely in the planning software and robotic guidance, not in image interpretation.

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

No standalone algorithm-only performance study is explicitly described. The device is a "computerized navigational system" that provides "navigational guidance of the surgical instruments," which implies a human-in-the-loop system. The surgeon is always "in control of the surgical instrument" and receives haptic feedback. The "Total System Accuracy" test would represent the performance of the system with all its components, including the robotic guidance based on the algorithm, but this is not a standalone algorithm without a physical output or human interaction.

7. The Type of Ground Truth Used:

For the performance characteristics like "System Lateral/Depth/Angular Accuracy," the ground truth would typically be established by highly precise measurement tools (e.g., optical tracking systems, CMMs) in a controlled laboratory setting, comparing the planned trajectory to the actual trajectory.

For the "C-CPS Technique Validation: Simulated Clinical Testing," the ground truth for "user requirements" and "rigidity" would be qualitative assessment by a surgeon (end-user), likely against predefined criteria for ease of application, stability, and removal.

8. The Sample Size for the Training Set:

Not applicable/Not provided. This submission describes a modification to a physical component (patient splint) of an existing robotic guidance system, not an AI model that requires a training set in the conventional sense (e.g., for image classification or prediction). The core "planning software" is mentioned as Neocis Planning Software Application v1.2 (K161399) or v1.8.1 (K191363), but no details on training data for these software versions are provided in this document.

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

Not applicable/Not provided. As explained above, this submission doesn't detail the training of an AI model.

In summary:

This 510(k) submission focuses on demonstrating substantial equivalence for a hardware modification (the C-CPS) to an existing dental navigation system. The "acceptance criteria" are predominantly implicit in proving that the new component does not degrade the established performance specifications of the overall system and meets new functional and safety requirements related to its design and use. The studies performed are primarily verification and validation tests in a simulated environment to confirm these aspects, rather than clinical trials or AI-specific performance evaluations involving large datasets or multiple human readers.

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