Abstract：
Recent artificial intelligence (AI) advancements in cardiovascular care offer potential enhancements in diagnosis, treatment, and outcomes. Innovations to date focus on automating measurements, enhancing image quality, and detecting diseases using novel methods. Applications span wearables, electrocardiograms, echocardiography, angiography, genetics, and more. AI models detect diseases from electrocardiograms at accuracy not previously achieved by technology or human experts, including reduced ejection fraction, valvular heart disease, and other cardiomyopathies. However, AI\'s unique characteristics necessitate rigorous validation by addressing training methods, real-world efficacy, equity concerns, and long-term reliability. Despite an exponentially growing number of studies in cardiovascular AI, trials showing improvement in outcomes remain lacking. A number are currently underway. Embracing this rapidly evolving technology while setting a high evaluation benchmark will be crucial for cardiology to leverage AI to enhance patient care and the provider experience.
摘要：
最近AI在心血管护理方面的进步提供了诊断方面的潜在增强，治疗,和结果。迄今为止的创新专注于自动化测量，提高图像质量，并使用新方法检测疾病。应用跨越可穿戴设备，心电图,超声心动图,血管造影,遗传学,还有更多.AI模型以技术或人类专家以前无法实现的准确性从心电图中检测疾病。包括降低射血分数,心脏瓣膜病,和其他心肌病。然而,人工智能的独特特征需要通过解决训练方法进行严格的验证，真实世界的功效，公平问题，和长期的可靠性。尽管心血管人工智能的研究呈指数级增长，仍然缺乏显示结局改善的试验。目前正在进行一些工作。在设定高评估基准的同时，采用这种快速发展的技术对于心脏病学来说，利用人工智能来增强患者护理和提供者体验至关重要。
