Clinical effectiveness evaluation method and system of medical apparatus based on artificial intelligence

Abstract

The invention discloses a clinical effectiveness evaluation method and system for medical instruments based on artificial intelligence, and relates to the technical field of clinical effectiveness evaluation of the medical instruments, and the system comprises a sample collection module, a prediction model, an accuracy verification module, a correction module and an evaluation module. The method comprises the steps: collecting clinical data of patients in each medical center to obtain enough samples, inputting the samples into the prediction model to be trained, adopting the prediction model to evaluate the effectiveness of the medical instrument based on artificial intelligence in a clinical experiment, and obtaining the evaluation result. Only the prediction model needs to be trained in the whole process, and in the assessment process, no professional physician is needed for assessment, so the whole assessment process is simple; the problems that the efficiency of the evaluation process is low, the evaluation result is inaccurate due to the influence of factors such as the professional degree of doctors and the like when the medical instruments adopting the artificial intelligence technology are subjected to effectiveness evaluation at present, and doctors of different professions need to evaluate different types of medical instruments adopting the artificial intelligence technology are solved.

Description

technical field [0001] The invention relates to the technical field of clinical effectiveness evaluation of medical devices, in particular to a method and system for evaluating the clinical effectiveness of medical devices based on artificial intelligence. Background technique [0002] Artificial intelligence medical devices refer to medical devices using artificial intelligence technology, including artificial intelligence independent software and artificial intelligence software components, etc. Its application in auxiliary therapy, medical image processing and other fields is becoming more and more extensive, and it has become a hot spot in the medical device industry And focus, medical devices using artificial intelligence technology need to be tested for effectiveness before they are put on the market to avoid errors in test results and misdiagnosis of patients. At present, the effectiveness of medical devices using artificial intelligence technology is evaluated The ev...

AI Technical Summary

Problems solved by technology

[0003] The embodiment of the present invention provides a method and system for evaluating the clinical effectiveness of medical devices based on artificial intelligence. By collecting the clinical data of patients in various medical centers and classifying them according to the types of diseases suffered by the patients, a sample set is obtained, and the The sample set is input into the forecasting model for training, and the trained forecasting model is obtained. By performing circular verification on the trained forecasting model, the forecasting model is prevented from outputting wrong results, and each wrong forecasting result is corrected as a sample input into the forecasting model. The final prediction model is obtained, and the prediction mode

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