人工智能辅助心电图诊断的发展与趋势

Tongnan Xia, Mengyao Shu, Hongtao Fan, Lei Ma, Yaojie Sun
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引用次数: 1

摘要

由于传统的人工和现有的自动心电判读准确率和效率较低,容易出现误诊和漏诊。研究表明,人工智能技术是未来心电图诊断的方向。人工智能在心电诊断系统中的广泛应用,将有效促进心电图学的快速发展,提高临床预防、预警、治疗和预后评估水平。本文结合课题组的研究情况,对国内外利用人工智能技术辅助心电诊断的研究进展进行了总结和介绍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Development and Trend of ECG Diagnosis Assisted by Artificial Intelligence
Due to the low accuracy and efficiency of traditional manual and existing automated interpretation of ECG, misdiagnosis and missed diagnosis are easy to occur. Studies have shown that, artificial intelligence technology is the direction of ECG diagnosis in the future. The wide application of artificial intelligence in ECG diagnostic system will effectively promote the rapid development of electrocardiography and improve the level of clinical prevention, early warning and treatment as well as prognosis evaluation. Based on the research situation of our research group, we summarized and introduced the research progress of using artificial intelligence technology to assist ECG diagnosis at home and abroad in this paper.
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