心脏病学中的人工智能研究要点:挑战与缓解

IF 2.5 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS
Biyanka Jaltotage MBBS, MSc , Girish Dwivedi MD, PhD
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引用次数: 0

摘要

使用人工智能(AI)的技术正在蓬勃发展;在医疗保健领域也可以看到同样的进步。心血管病学尤其适合利用人工智能,因为该领域属于数据密集型领域,而且目前在心血管疾病管理方面的现有资源十分紧张。随着人工智能接近临床护理的常规实施阶段,需要考虑确保软件的有效性和安全性。人工智能的益处已得到公认,但其挑战和伦理方面的考虑却不那么为人所知。因此,目前对人工智能研究的基本要素还缺乏共识。在这篇综述中,我们旨在评估并进一步阐明在开展人工智能研究时遇到的挑战,并探索潜在的缓解措施,以促进人工智能在心血管疾病管理中的成功整合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Essentials for AI Research in Cardiology: Challenges and Mitigations
Technology using artificial intelligence (AI) is flourishing; the same advancements can be seen in health care. Cardiology in particular is well placed to take advantage of AI because of the data-intensive nature of the field and the current strain on existing resources in the management of cardiovascular disease. With AI nearing the stage of routine implementation into clinical care, considerations need to be made to ensure the software is effective and safe. The benefits of AI are well established, but the challenges and ethical considerations are less well understood. As a result, there is currently a lack of consensus on what the essential components are in an AI study. In this review we aim to assess and provide greater clarity on the challenges encountered in conducting AI studies and explore potential mitigations that could facilitate the successful integration of AI in the management of cardiovascular disease.
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来源期刊
CJC Open
CJC Open Medicine-Cardiology and Cardiovascular Medicine
CiteScore
3.30
自引率
0.00%
发文量
143
审稿时长
60 days
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