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510(k) Data Aggregation
(121 days)
The Stable-C Interbody System is an anterior cervical interbody fusion system. The Stable-C Interbody System is indicated for use in skeletally mature patients with degenerative disc disease (DDD) at one level from C2-T1. DDD is defined as back pain of discogenic origin with degeneration of the disc confirmed by history and radiographic studies. The Stable-C Interbody System is to be used with supplemental fixation cleared for use in the cervical spine. The system is intended to be used with autogenous or allogeneic bone graft comprised of cancellous and/or corticocancellous bone graft to facilitate fusion. The system is to be used in patients who have had six weeks of non-operative treatment.
The Stable-C Interbody System is an anterior cervical interbody device comprised of a cage (lordotic angles of 0 , 6°, and 12°) made from Ti-6Al-4V per ASTM F3001 and two fixation anchors made from Ti-6-Al-4V ELI per ASTM F136. The device is offered in a variety of sizes to accommodate patient anatomy. The devices and instruments are provided clean and non-sterile for steam sterilization at the user's facility.
The provided text is a 510(k) premarket notification FDA letter for a medical device called the "Stable-C Interbody System." This document primarily focuses on demonstrating substantial equivalence to pre-existing, legally marketed devices.
It does NOT describe a study involving an AI/Medical Device that uses machine learning, nor does it provide details about acceptance criteria and performance data in the context of an algorithm's accuracy or effectiveness.
The "Performance Data" section in the document refers to mechanical testing of the physical implant device to prove its structural integrity and safety, not the performance of an AI algorithm.
Therefore, I cannot extract the requested information (acceptance criteria, details of a study proving algorithm performance, sample sizes, expert qualifications, adjudication methods, MRMC studies, standalone performance, ground truth types, training set details) from the provided text because it is not relevant to an AI/ML medical device.
To answer your request, I would need a document describing the validation and performance of an AI/ML-based medical device.
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