Sciagrà Roberto, Valente Samuele, Dominietto Marco
Nuclear Medicine, Department of Experimental and Clinical Biomedical Sciences, University of Florence, Careggi University Hospital, 50134 Florence, Italy.
Gate To Brain SA, 6830 Chiasso, Switzerland.
J Clin Med. 2025 Sep 11;14(18):6416. doi: 10.3390/jcm14186416.
: Artificial Intelligence (AI) is becoming increasingly important in Medicine. The aim of this review is to summarize its use in the field of Nuclear Cardiology. : First, we provide a short description of how AI works. Then we performed a review of the literature focusing on the articles in which AI is used for image interpretation for diagnostic or prognostic purposes. : AI has been applied according to various approaches for both diagnosis and prognosis. The achieved gains have been so far relatively limited as compared to traditional methodologies. However, promising results have been reported, including interesting perspectives for the explainability of AI results and their potential integration in clinical routine. : AI is soon going to play an important role in Nuclear Cardiology, but further improvements are needed to reach significant gains in terms of diagnostic accuracy, and prospective studies on its prognostic capabilities are still lacking. Furthermore, several important issues must be solved, such as availability and feasibility within the processing workflow, explainability, liability, and ethics of its application in clinical decision-making.
人工智能(AI)在医学领域正变得越来越重要。本综述的目的是总结其在核心脏病学领域的应用。:首先,我们简要描述了人工智能的工作原理。然后,我们对文献进行了综述,重点关注那些将人工智能用于图像解读以进行诊断或预后评估的文章。:人工智能已根据各种方法应用于诊断和预后评估。与传统方法相比,目前所取得的进展相对有限。然而,已有一些有前景的结果被报道,包括人工智能结果可解释性的有趣观点及其在临床常规中的潜在整合。:人工智能很快将在核心脏病学中发挥重要作用,但在诊断准确性方面仍需进一步改进以取得显著进展,并且关于其预后能力的前瞻性研究仍然缺乏。此外,还必须解决几个重要问题,例如处理工作流程中的可用性和可行性、可解释性、责任以及其在临床决策中应用的伦理问题。