New ultrasound techniques. Present and future.

Fernando Clau Terré, Raul Vicho Pereira, Jose Maria Ayuela Azcárate, Manuel Ruiz Bailén
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Abstract

The present study highlights the advances in ultrasound, especially regarding its clinical applications to critically ill patients. Artificial intelligence (AI) is crucial in automating image interpretation, improving accuracy and efficiency. Software has been developed to make it easier to perform accurate bedside ultrasound examinations, even by professionals lacking prior experience, with automatic image optimization. In addition, some applications identify cardiac structures, perform planimetry of the Doppler wave, and measure the size of vessels, which is especially useful in hemodynamic monitoring and continuous recording. The "strain" and "strain rate" parameters evaluate ventricular function, while "auto strain" automates its calculation from bedside images. These advances, and the automatic determination of ventricular volume, make ultrasound monitoring more precise and faster. The next step is continuous monitoring using gel devices attached to the skin.

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超声波新技术。现在和未来。
本研究强调了超声技术的进步,尤其是在危重病人的临床应用方面。人工智能(AI)在图像解读自动化、提高准确性和效率方面至关重要。通过自动图像优化,即使是缺乏经验的专业人员也能更轻松地进行准确的床旁超声检查。此外,一些应用程序还能识别心脏结构、对多普勒波进行平面测量,以及测量血管的大小,这在血液动力学监测和连续记录中尤为有用。应变 "和 "应变率 "参数可评估心室功能,而 "自动应变 "可根据床旁图像自动计算应变。这些进步以及心室容积的自动测定使超声监测更加精确和快捷。下一步是使用附在皮肤上的凝胶装置进行连续监测。
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