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510(k) Data Aggregation
(228 days)
Cellah Medical Co., Ltd.
The BLESSING System is intended for use in dermatologic and general surgical procedures for electrocoagulation and hemostasis.
The device is used for coagulation through high-frequency current and consists of a main body, three types of handpieces, a handpiece stand, an electrode, a neutral (counter) electrode, a counter electrode connection cable, a foot switch, and a power cord, all controlled by software. It works on the principle that skin tissue coagulates due to heat generated by the load or contact resistance when high-frequency (RF) energy is applied to the tissue.
This FDA Clearance Letter for the BLESSING System (K243176) does not describe a study involving AI or diagnostic performance, but rather concerns an electrosurgical device. Therefore, it does not provide the information requested regarding acceptance criteria and a study proving a device meets those criteria for AI-assisted diagnostic performance.
The document discusses:
- The device: BLESSING System, an electrosurgical cutting and coagulation device.
- Its intended use: Dermatologic and general surgical procedures for electrocoagulation and hemostasis.
- Predicate device: POTENZA (K201685).
- Substantial Equivalence: A comparison of the BLESSING System with its predicate device, highlighting minor differences in specifications (e.g., max output power, voltage output, weight, dimension, input voltage) but arguing these differences do not affect safety and effectiveness.
- Performance Tests (Non-clinical): This section details the engineering and safety tests conducted on the device, such as EMC, electrical safety, usability, biocompatibility (cytotoxicity, skin sensitization, irritation, systemic toxicity, pyrogen, hemolysis), cleaning validation, packaging validation, sterilization validation, and software validation. These are standard tests for medical devices to ensure their safe and effective operation, not diagnostic performance.
Therefore, I cannot provide the requested information about acceptance criteria for diagnostic performance or an AI study from this document, as it is completely irrelevant to the context of AI or diagnostic imaging.
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