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

A medical device and artificial intelligence technology, applied in the field of clinical effectiveness evaluation of medical devices, can solve problems such as inaccurate evaluation results, output errors, and low efficiency of the evaluation process, and achieve the effect of simple evaluation process

Active Publication Date: 2021-07-02
青岛瑞斯凯尔生物科技有限公司
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  • Abstract
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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 model is used to evaluate the effectiveness of artificial intelligence-based medical devices in clinical trials, and the evaluation results are obtained. The whole process only needs to train the prediction model, and no professional physicians are required for evaluation during the evaluation process. The evaluation process is simple, which solves the low efficiency of the evaluation process existing in the effectiveness evaluation of medical devices using artificial intelligence technology, which is affected by factors such as the professionalism of physicians, resulting in inaccurate evaluation results. Evaluating different types of medical devices using artificial intelligence technology Devices require evaluation by physicians of different specialties

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Embodiment 1

[0038] Such as figure 1 As shown, the embodiment of the present invention provides a method for evaluating the clinical effectiveness of a medical device based on artificial intelligence, comprising the following steps:

[0039] S1, clinical data collection, collect the clinical data of patients in different medical centers respectively, classify the collected clinical data according to different types, record them separately after the classification is completed, and form a data sample set. The clinical data includes age data, gender data, physical examination data, the disease and the corresponding severity of the disease;

[0040] Specifically, obtain enough clinical data of patients from different medical centers, so as to obtain the symptoms of patients of different ages and genders, the corresponding severity of the symptoms and the corresponding physical examination data, and according to the symptoms Classify records, specifically, according to different diseases, obt...

Embodiment 2

[0052] The embodiment of the present invention also discloses a clinical effectiveness evaluation system for medical devices based on artificial intelligence, including: a sample collection module 100, a prediction model 200, an accuracy verification module 300, a correction module 400, and an evaluation module 500;

[0053] The sample collection module 100 is distributed in different medical centers, respectively collects clinical data of patients in different medical centers, and processes the clinical data to form a data sample set, which is input to the prediction model 200. The sample collection module 100 includes a first clinical data collection unit 101, a first clinical data classification unit 102, a recording unit 103 and a first communication unit 104, the first clinical data collection unit 101 is used to collect clinical data of patients in different medical centers and The collected clinical data of patients in different medical centers are input into the first c...

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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...

Claims

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Application Information

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IPC IPC(8): G16H10/60G16H50/70G06K9/62G06N20/00
CPCG16H10/60G16H50/70G06N20/00G06F18/214G06F18/241
Inventor 李广仁宁平强茂孙谧
Owner 青岛瑞斯凯尔生物科技有限公司
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