K Number
K251618
Date Cleared
2025-07-24

(58 days)

Product Code
Regulation Number
888.3520
Panel
OR
Reference & Predicate Devices
AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
Intended Use

MOTO Medial, MOTO Lateral and MOTO Sphere Partial Knee System is designed for cemented use in partial knee arthroplasty, if there is evidence of sufficient sound bone to seat and support the components. Partial replacement of the articulating surfaces of the knee is indicated when only one compartment of the joint is affected due to the compartmental primary degenerative or post-traumatic degenerative disease, previous tibial condyle or plateau fractures, deformity or revision of previous arthroplasty.

Device Description

The MOTO Partial Knee System Extension is a Medacta partial knee prosthesis portfolio extension including implantable devices, provided individually packed, sterile and single-use. Specifically, the purpose of this submission is to gain the clearance for: MOTO Sphere femoral components, made of Co-Cr-Mo according to ISO 5832-4 and available in 5 sizes with or without TiNbN coating. They are intended to replace the medial or lateral femoral compartment of the natural knee joint and must be implanted in combination with the tibial component of MOTO Medial or MOTO Lateral (K162084, K183029 and K213071); 7mm thick MOTO Medial and MOTO Lateral inserts fixed made of E-cross, available in 8 sizes and intended to be coupled with the subject MOTO Sphere femoral components as well as MOTO Medial or MOTO Lateral tibial components (K162084, K183029 and K213071).

AI/ML Overview

The provided document is a 510(k) Clearance Letter from the FDA for the MOTO Partial Knee System Extension. This document grants clearance for a medical device (knee implant components) and describes its intended use and comparison to predicate devices, but it does not contain the detailed acceptance criteria and study results you are asking for regarding a software or AI-based device.

The prompt specifically asks for details about a study that proves the device meets acceptance criteria, including information on "human readers improve with AI vs without AI assistance," "standalone (i.e. algorithm only without human-in-the-loop performance)", "ground truth," "training set," etc. These are all concepts related to the validation of Artificial Intelligence (AI) / Machine Learning (ML) enabled software as a medical device (SaMD), often used in diagnostics or image analysis.

The MOTO Partial Knee System Extension is an implantable medical device (hardware). The document explicitly states:

  • "No clinical studies were conducted." This is a key indicator that a comparative effectiveness study involving human readers or standalone algorithm performance was not performed or required for this type of device clearance.
  • The "Performance Data" section lists "Non-Clinical Studies" focusing on mechanical properties and biocompatibility (e.g., fatigue endurance, contact pressures, wear behavior, pyrogenicity, shelf-life). These are standard tests for orthopedic implants, not AI/ML software.

Therefore, because the provided text is for a hardware implant and not an AI/ML software device, I cannot extract the detailed acceptance criteria and study information related to AI/ML performance from this document.

To answer your request, I would need a 510(k) clearance letter or summary for an AI/ML-enabled medical device.

If you were to provide a document for an AI/ML device, the table and information would be structured as follows (but cannot be populated from the current input):


Acceptance Criteria and Study Proof for an AI/ML Device (Hypothetical, based on expected content)

Since the provided document is for a hardware implant (MOTO Partial Knee System Extension) and not an AI/ML-enabled software device, it does not contain the specific performance evaluation metrics, study designs (e.g., MRMC, standalone), or ground truth establishment methods typically associated with AI/ML device validation.

If this were an AI/ML device, the information requested would be typically found in a "Performance Data" or "Clinical Performance" section of the 510(k) Summary, detailing studies conducted to demonstrate the algorithm's accuracy, sensitivity, specificity, or impact on human reader performance.

1. Table of Acceptance Criteria and Reported Device Performance (Hypothetical Example)

Acceptance Criteria (e.g., for AI-assisted image analysis)Reported Device Performance
Standalone Performance:
Sensitivity for Condition A: ≥ 90%92.5%
Specificity for Condition A: ≥ 85%88.0%
AUC for detecting Condition B: ≥ 0.900.93
Human-in-the-Loop Performance (MRMC):
Improvement in Reader ROC AUC with AI vs. without AI: statistically significant (p

§ 888.3520 Knee joint femorotibial metal/polymer non-constrained cemented prosthesis.

(a)
Identification. A knee joint femorotibial metal/polymer non-constrained cemented prosthesis is a device intended to be implanted to replace part of a knee joint. The device limits minimally (less than normal anatomic constraints) translation in one or more planes. It has no linkage across-the-joint. This generic type of device includes prostheses that have a femoral condylar resurfacing component or components made of alloys, such as cobalt-chromium-molybdenum, and a tibial component or components made of ultra-high molecular weight polyethylene and are intended for use with bone cement (§ 888.3027).(b)
Classification. Class II.