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510(k) Data Aggregation
(189 days)
The Tarsus Medical Meta-Lock Suture Anchor System is intended for fixation of suture to bone for the indications listed below:
SHOULDER: Bankart repair, SLAP lesion repair, acromio-clavicular separation, rotator cuff repair, capsule shift/capsulo-labral reconstruction, biceps tenodesis, Deltoid repair
ANKLE: Lateral instability, medial instability, achilles tendon repair/reconstruction, Midfoot reconstructions
FOOT: Hallux valgus reconstruction
WRIST: Scapholunate ligament
HAND: Ulnar or lateral collateral ligament reconstruction
ELBOW: Biceps tendon reattachment
KNEE: Extra capsular repairs; reattachment of : medial collateral ligament, lateral collateral ligament, posterior oblique ligament or joint capsule to tibia and joint capsule closure to anterior proximal tibia; extra capsular reconstruction, ITB tendonesis; patellar ligament and tendon avulsions.
The Meta-Lock™ Suture Anchor System is a suture anchor used for the reattachment of soft tissue to bone.
The provided document is a 510(k) summary for a medical device (Meta-Lock™ Suture Anchor System) and does not contain the information requested about acceptance criteria and a study proving device performance in the context of an AI/algorithm-based medical device.
The document discusses:
- Device Type: A traditional medical device (suture anchor system).
- Approval Type: 510(k) premarket notification.
- Performance Evaluation: Non-clinical tests (tensile testing, cyclic testing, MR testing, galvanic corrosion testing, simulated movement, and simulated use testing) to demonstrate substantial equivalence to a predicate device, not to establish novel performance against specific acceptance criteria in the way an AI/algorithm would be tested.
- Human Involvement: Not relevant as it's a physical implant, not an AI assisting human readers.
- Ground Truth: Not applicable in the context of this physical device's non-clinical testing.
- Training Set: Not applicable.
Therefore, I cannot extract the requested information (points 1-9) from the provided text.
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