Vasile Corina Maria, Iriart Xavier
Department of Pediatric and Adult Congenital Cardiology, Bordeaux University Hospital, 33600 Pessac, France.
IHU Liryc-Electrophysiology and Heart Modelling Institute, Bordeaux University Foundation, 33600 Pessac, France.
Diagnostics (Basel). 2023 Oct 6;13(19):3137. doi: 10.3390/diagnostics13193137.
Advancements in artificial intelligence (AI) have rapidly transformed various sectors, and the field of echocardiography is no exception. AI-driven technologies hold immense potential to revolutionize echo labs' diagnostic capabilities and improve patient care. This paper explores the importance for echo labs to embrace AI and stay ahead of the curve in harnessing its power. Our manuscript provides an overview of the growing impact of AI on medical imaging, specifically echocardiography. It highlights how AI-driven algorithms can enhance image quality, automate measurements, and accurately diagnose cardiovascular diseases. Additionally, we emphasize the importance of training echo lab professionals in AI implementation to optimize its integration into routine clinical practice. By embracing AI, echo labs can overcome challenges such as workload burden and diagnostic accuracy variability, improving efficiency and patient outcomes. This paper highlights the need for collaboration between echocardiography laboratory experts, AI researchers, and industry stakeholders to drive innovation and establish standardized protocols for implementing AI in echocardiography. In conclusion, this article emphasizes the importance of AI adoption in echocardiography labs, urging practitioners to proactively integrate AI technologies into their workflow and take advantage of their present opportunities. Embracing AI is not just a choice but an imperative for echo labs to maintain their leadership and excel in delivering state-of-the-art cardiac care in the era of advanced medical technologies.
人工智能(AI)的进步迅速改变了各个领域,超声心动图领域也不例外。人工智能驱动的技术具有巨大潜力,能够彻底改变超声心动图实验室的诊断能力并改善患者护理。本文探讨了超声心动图实验室采用人工智能并在利用其力量方面保持领先地位的重要性。我们的论文概述了人工智能对医学成像,特别是超声心动图日益增长的影响。它强调了人工智能驱动的算法如何能够提高图像质量、自动进行测量并准确诊断心血管疾病。此外,我们强调了对超声心动图实验室专业人员进行人工智能实施培训的重要性,以优化其融入常规临床实践的程度。通过采用人工智能,超声心动图实验室可以克服诸如工作量负担和诊断准确性差异等挑战,提高效率和患者治疗效果。本文强调了超声心动图实验室专家、人工智能研究人员和行业利益相关者之间开展合作的必要性,以推动创新并建立在超声心动图中实施人工智能的标准化协议。总之,本文强调了在超声心动图实验室采用人工智能的重要性,敦促从业者积极将人工智能技术融入其工作流程并利用当前的机会。采用人工智能不仅仅是一种选择,对于超声心动图实验室在先进医疗技术时代保持领先地位并出色地提供最先进的心脏护理而言,这是一项迫切要求。