AI Powered Echocardiography

Joshua Hopkins, Datonye B. Omunguye-George
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Abstract

The purpose of this paper is to discuss the current technological developments in diagnostic cardiovascular care. Echocardiography, a widely known imaging tool, extracts insights about a patients’ cardiac anatomy and perform necessary treatments or procedures based on their diagnoses. AI models respond to vast amounts of raw cardiac data and use Deep Learning algorithms to identify images with remarkable speed and accuracy. AI applications in computer vision offer key benefits in the healthcare industry. Companies such as Siemens are the key players – the commercialization of new AI technology has enabled healthcare organizations to streamline workflows, reduce errors, and lower costs.Potentially, there will be no reproducibility issues thereby redirecting clinical efforts towards patient treatment planning and research to prevent uptrends of heart disease.
人工智能驱动超声心动图
本文旨在讨论当前心血管诊断护理领域的技术发展。超声心动图是一种广为人知的成像工具,可提取有关患者心脏解剖结构的信息,并根据诊断结果进行必要的治疗或手术。人工智能模型能对大量原始心脏数据做出反应,并利用深度学习算法以惊人的速度和准确性识别图像。人工智能在计算机视觉领域的应用为医疗保健行业带来了关键优势。西门子等公司是关键的参与者--新人工智能技术的商业化使医疗机构能够简化工作流程、减少错误并降低成本。有可能不会出现可重复性问题,从而将临床工作转向患者治疗规划和研究,以防止心脏病的上升趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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