Department of Artificial Intelligence, TAVR AI, Brisbane, Queensland, Australia.
Intern Med J. 2022 Jun;52(6):912-920. doi: 10.1111/imj.15562. Epub 2022 May 31.
Artificial intelligence (AI) is an overarching term that encompasses a set of computational approaches that are trained through generalised learning to autonomously execute specific tasks. AI is a rapidly expanding field in medicine. In particular cardiology, with its high reliance on numerical patient data in decision making, has great potential to benefit from AI. Types of AI, including neural networks and computer vision, can dramatically change the day-to-day workflow of cardiologists, primarily through integration in diagnostic imaging modalities, periprocedural planning, electronic health record analysis and patient monitoring. Healthcare systems will undoubtedly become more automated and shift to more AI-driven methods to improve efficiency and reduce cost. Patients in the end will benefit from these changes with improved diagnostic accuracy, better tailored treatments resulting in a greater quality and quantity of life. In this article, we will describe some of the fundamental principles underlying AI that physicians should have an understanding of, along with current clinical applications.
人工智能（AI）是一个总称，它包含了一组通过广义学习进行训练的计算方法，能够自主执行特定任务。人工智能是医学领域中一个快速发展的领域。特别是心脏病学，它在决策中高度依赖数值患者数据，非常有潜力从人工智能中受益。人工智能的类型，包括神经网络和计算机视觉，可以通过在诊断成像模式、围手术期规划、电子健康记录分析和患者监测中的集成，极大地改变心脏病专家的日常工作流程。医疗保健系统无疑将变得更加自动化，并转向更多由人工智能驱动的方法，以提高效率和降低成本。最终，患者将受益于这些改进，包括提高诊断准确性、更精确的治疗方案，从而提高生活质量和延长寿命。在本文中，我们将描述一些医生应该理解的人工智能的基本原理，以及当前的临床应用。
