A method and system for radio frequency ablation parameter optimization and information synthesis based on artificial intelligence

Abstract

An artificial intelligence-based radiofrequency ablation parameter optimization and information synthesis method and system. The method is applied to a radiofrequency ablation controller, including a processor and an artificial intelligence module; the processor of the radiofrequency ablation controller is responsive to sample data, preprocessing and Send to the artificial intelligence module; the artificial intelligence module establishes an artificial neural network model according to the preprocessed sample data and the radio frequency ablation control parameters for the sample data; the processor performs preprocessing in response to the signals collected by each sensor on the plasma knife; artificial intelligence The module imports the preprocessed sensor data into the artificial neural network model for analysis and fusion, and obtains radiofrequency ablation control parameters. The present invention can provide information such as the position of the lesion tissue, the size of the ablation range, etc. according to the environmental parameters and combined with the artificial neural network, which is helpful for doctors to judge the condition of the lesion tissue and control the energy transmission during the ablation process, and helps to reduce secondary trauma. .

Description

technical field [0001] The invention relates to the technical field of radio frequency ablation, in particular to a method and system for optimizing radio frequency ablation parameters and information synthesis based on artificial intelligence. Background technique [0002] At present, the existing radiofrequency ablation equipment mainly focuses on the generation of voltage and power to successfully transmit high-frequency electrical energy to the target tissue of the patient; and it mainly relies on the clinical experience of the attending doctor for operation, and the corresponding control parameters are still lacking accurate control parameters. Thermal basis. Since the ablation process involves many disciplines such as biology, heat transfer, mechanics, clinical medicine, etc., it is necessary to precisely control the scope of ablation, reduce unnecessary damage as much as possible, and ensure that the normal tissue cells are not damaged to the maximum extent possible. ...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to propose a radio frequency ablation parameter optimization and information synthesis method and system based on artificial intelligence to solve the problem that the current ablation equipment cannot automatically configure the attack rate and energy

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