资源有限地区的人工智能超声心动图:应用与挑战。

IF 1.6 4区 医学 Q3 CARDIAC & CARDIOVASCULAR SYSTEMS Echocardiography-A Journal of Cardiovascular Ultrasound and Allied Techniques Pub Date : 2024-10-05 DOI:10.1111/echo.15939
Izhan Hamza, Patricia A. Pellikka, Amer Abdulla, Masood Ahmad
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引用次数: 0

摘要

人工智能(AI)正在彻底改变包括超声心动图在内的心脏成像技术。然而,人工智能在资源有限的地区普及率很低。在资源有限的地区,人工智能辅助超声心动图(AIE)的实施带来了独特的挑战和机遇。人工智能辅助超声心动图的一些明显优势包括辅助图像采集、解读和根据严重程度分流患者。人工智能心动图在资源有限地区面临的挑战包括:缺乏用于模型开发的数据、医生的疑虑和过时的监管框架。根据我们在人工智能方面的早期经验,我们相信在资源有限的地区开展人工智能医疗将提高医疗公平性,改善技术的可及性,并节约成本。然而,要实现这些目标还需要付出巨大的努力。
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Artificial Intelligence Echocardiography in Resource-Limited Regions: Applications and Challenges

Artificial intelligence (AI) is revolutionizing cardiac imaging, including echocardiography. However, AI has scarce penetration in resource-limited regions. The implementation of AI-aided echocardiography (AIE) poses unique challenges and opportunities in resource-limited areas. Some obvious advantages of AIE include aiding image acquisition, interpretation, and triaging patients based on severity. The challenges AIE faces in resource-limited regions include a lack of data accessibility for model development, physician apprehension, and an outdated regulatory framework. Based on our early experience with AI, we believe AIE in resource-limited regions will enhance health equity, improve access to the technology, and lead to cost savings. However, significant efforts are needed to realize these objectives.

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来源期刊
CiteScore
2.40
自引率
6.70%
发文量
211
审稿时长
3-6 weeks
期刊介绍: Echocardiography: A Journal of Cardiovascular Ultrasound and Allied Techniques is the official publication of the International Society of Cardiovascular Ultrasound. Widely recognized for its comprehensive peer-reviewed articles, case studies, original research, and reviews by international authors. Echocardiography keeps its readership of echocardiographers, ultrasound specialists, and cardiologists well informed of the latest developments in the field.
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