Search Results
Found 1 results
510(k) Data Aggregation
(357 days)
POWER-TRIALYSIS SLIM-CATH SHORT-TERM DIALYSIS CATHETER
The Power-Trialysis Slim-Cath Short-Term Dialysis Catheter, with a third internal lumen for intravenous therapy, power injection of contrast media, and central venous pressure monitoring, is indicated for use in attaining short-term (less than 30 days) vascular access for hemodialysis, hemoperfusion, and apheresis treatments. The catheter is intended to be inserted in the jugular, femoral, or subclavian vein as required. The maximum recommended infusion rate is 5 mL/sec for power injection of contrast media.
Power-Trialysis™ Slim-Cath™ Short-Term Dialysis Catheters are made of thermosensitive polyurethane, which softens when exposed to body temperature. The catheter is divided into three separate lumens permitting continuous blood flow. Both the venous (blue) and the arterial (red) lumens may be used for hemodialysis, hemoperfusion, and apheresis treatments. The distal (purple) lumen is completely independent from the two dialysis lumens and may be used for intravenous therapy, power injection of contrast media, and central venous pressure monitoring. The distal lumen can also be accessed for blood draws and infusion of medications.
The provided document is a 510(k) Premarket Notification for a medical device (Power-Trialysis Slim-Cath Short-Term Dialysis Catheter). It lists the device's characteristics, intended use, and a summary of performance testing done to establish substantial equivalence to a predicate device.
However, the document does not describe a study involving an AI/Machine Learning device or a Multi-Reader Multi-Case (MRMC) comparative effectiveness study. The tests described are engineering and material performance tests for a physical catheter, not algorithmic performance evaluations. Specifically, there is no mention of:
- AI/Machine Learning algorithms
- Test sets for AI models
- Data provenance for AI models
- Expert review for ground truth establishment for AI models
- Adjudication methods for AI ground truth
- MRMC studies
- Standalone algorithm performance
- Training sets for AI models
Therefore, I cannot extract the requested information about acceptance criteria for an AI device or a study proving its performance against expert-defined ground truth from this document. The "acceptance criteria" discussed in this document refer to engineering specifications for the physical catheter.
If you have a document related to an AI/ML medical device, please provide that.
Ask a specific question about this device
Page 1 of 1