Surgsci Ultrasonic Scalpel Device | Product Features and Advantages

Surgsci Ultrasonic Scalpel Device has the advantages as follows:

High-Performance Computing Server with AI Algorithms

Fully integrated with Surgsci's years of underlying technology accumulation, the server adopts NPU processors (Neural Processing Units) with performance comparable to small AI workstations, capable of processing floating-point data at up to 3.6 TOPs (3.6 trillion operations per second), intelligently meeting the operational requirements of different surgeries.

This intelligent algorithm improves the precision of energy output, enhancing cutting efficiency and coagulation capability. The algorithm intelligently identifies different tissues and adjusts energy output accordingly, achieving maximum cutting efficiency and coagulation capability with the lowest energy consumption.

Low-Heating Cutting Control Algorithm

This algorithm monitors real-time temperature changes and tissue status during the cutting process, intelligently adjusting energy output to achieve maximum cutting speed with the lowest energy consumption. As a result, the temperature of the blade during surgery is lower, minimizing heat damage and enhancing surgical safety.

AI Temperature Detection Algorithm

This algorithm continuously analyzes the changes generated by various data during the excitation process of the blade, using AI technology for classification, recognition, and training to achieve precise temperature monitoring. When the temperature exceeds the limit, it issues a warning and guides doctors to take appropriate measures to reduce tissue heat damage caused by overheating of the blade.

Forceps Collision Detection Algorithm

This algorithm analyzes various data changes during the operation of the blade, using AI algorithm technology to identify, classify, and train the data, detecting the signal characteristics of collisions between the blade and other forceps and rapidly identifying them. When a collision occurs, the energy is quickly recovered until the collision ends, and the collision event is indicated on the screen, thereby enhancing the safety of intraoperative ultrasonic scalpel use and reducing the risk of blade breakage.

Tissue Cutting Completion Warning Algorithm

This algorithm analyzes various data changes during the operation of the blade, utilizing AI algorithm technology for data recognition, classification, and training. When tissues are severed, the algorithm alerts the operator through sound prompts, while simultaneously reducing energy output to minimize friction at the forceps, lower blade temperature, and enhance cutting accuracy.