Avanos Medical has patented an adaptive multivariate control system for RF ablation procedures. The system includes an energy source, sensors, and a processor to create lesions at target sites based on multiple factors. The RF probe enhances precision in RF ablation procedures. GlobalData’s report on Avanos Medical gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Avanos Medical, was a key innovation area identified from patents. Avanos Medical's grant share as of February 2024 was 61%. Grant share is based on the ratio of number of grants to total number of patents.
Adaptive multivariate control system for rf ablation procedures
A recently granted patent (Publication Number: US11903633B2) describes a radiofrequency (RF) ablation system designed to perform RF ablation procedures with precision and efficiency. The system includes an energy source, an energy delivery device, two or more sensors measuring factors related to the procedure, and a processor executing various operations. These operations involve creating a lesion at the target site based on specific factors, monitoring factors during energy delivery, adjusting energy levels based on thresholds, and switching control between different factors to enhance lesion development. The system aims to optimize the ablation process by ensuring factors like power, current, voltage, and tissue temperature are carefully monitored and controlled throughout the procedure.
Furthermore, the patent details a method for performing RF ablation procedures using an RF probe. The method involves delivering energy to create a lesion at the target site, monitoring operational factors related to the procedure, determining operating thresholds, and adjusting energy delivery accordingly. Additionally, the method includes collecting operational data from the RF probe, inputting this data into a deep learning network for training, and utilizing the network to control energy delivery based on the operational factors. By integrating advanced monitoring, control, and machine learning techniques, the system and method described in the patent aim to enhance the precision and effectiveness of RF ablation procedures, ultimately improving patient outcomes and procedural success rates.
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