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 : 2024-10-01 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in resource-limited regions include a lack of data accessibility for model development, physician apprehension, and an outdated regulatory framework.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.
期刊最新文献
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