Artificial Intelligence Algorithms in Cardiovascular Medicine: An Attainable Promise to Improve Patient Outcomes or an Inaccessible Investment?

IF 3.1 3区医学 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS

Current Cardiology Reports Pub Date : 2024-12-01 Epub Date: 2024-10-29 DOI:10.1007/s11886-024-02146-y

Patrícia Bota, Geerthy Thambiraj, Sandeep C Bollepalli, Antonis A Armoundas

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引用次数: 0

Abstract

Purpose of review: This opinion paper highlights the advancements in artificial intelligence (AI) technology for cardiovascular disease (CVD), presents best practices and transformative impacts, and addresses current concerns that must be resolved for broader adoption.

Recent findings: With the evolution of digitization in data collection, large amounts of data have become available, surpassing the human capacity for processing and analysis, thus enabling the application of AI. These models can learn complex spatial and temporal patterns from large amounts of data, providing patient-specific outputs. These advantages have resulted, at the moment, in more than 900 AI-based devices being approved, today, by regulatory entities, for clinical use, with similar to improved performance and efficiency compared to traditional technologies. However, issues such as model generalization, bias, transparency, interpretability, accountability, and data privacy remain significant barriers for broad adoption of these technologies. AI shows great promise in enhancing CVD care through more accurate and efficient approaches. Yet, widespread adoption is hindered by unresolved concerns of interested stakeholders. Addressing these challenges is crucial for fully integrating AI into clinical practice and shaping the future of CVD prevention, diagnosis and treatment.

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心血管医学中的人工智能算法：改善患者预后的可望而不可及的投资？

综述目的：本文重点介绍了人工智能（AI）技术在治疗心血管疾病（CVD）方面取得的进展，介绍了最佳实践和变革性影响，并探讨了当前在更广泛采用人工智能技术时必须解决的问题：最近的研究结果：随着数据收集数字化的发展，大量数据已超出人类的处理和分析能力，从而使人工智能的应用成为可能。这些模型可以从大量数据中学习复杂的空间和时间模式，提供针对患者的输出结果。由于这些优势，目前已有 900 多种基于人工智能的设备获得监管机构的批准，用于临床应用，其性能和效率与传统技术相近或有所提高。然而，模型泛化、偏差、透明度、可解释性、问责制和数据隐私等问题仍然是广泛采用这些技术的重大障碍。人工智能在通过更准确、更高效的方法加强心血管疾病护理方面大有可为。然而，相关利益方尚未解决的问题阻碍了人工智能的广泛应用。应对这些挑战对于将人工智能全面融入临床实践以及塑造心血管疾病预防、诊断和治疗的未来至关重要。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Current Cardiology Reports CARDIAC & CARDIOVASCULAR SYSTEMS-

CiteScore

6.20

自引率

2.70%

发文量

209

期刊介绍： The aim of this journal is to provide timely perspectives from experts on current advances in cardiovascular medicine. We also seek to provide reviews that highlight the most important recently published papers selected from the wealth of available cardiovascular literature. We accomplish this aim by appointing key authorities in major subject areas across the discipline. Section editors select topics to be reviewed by leading experts who emphasize recent developments and highlight important papers published over the past year. An Editorial Board of internationally diverse members suggests topics of special interest to their country/region and ensures that topics are current and include emerging research. We also provide commentaries from well-known figures in the field.