Brown Sam
Academic Foundation Year 1 Doctor King's College Hospital, Denmark Hill, London, SE5 9RS.
Br J Cardiol. 2024 Apr 16;31(2):015. doi: 10.5837/bjc.2024.015. eCollection 2024.
Artificial intelligence (AI) will revolutionise cardiology practices over the next decade, from optimising diagnostics to individualising treatment strategies. Moreover, it can play an important role in combating gender inequalities in cardiovascular disease outcomes. There is growing evidence that AI algorithms can match humans at echocardiography analysis, while also being able to extract subtle differences that the human eye cannot detect. Similar promise is evident in the analysis of electrocardiograms, creating a new layer of interpretation. From big data, AI can produce algorithms that individualise cardiac risk factors and prevent perpetuating gender biases in diagnosis. Nonetheless, AI implementation requires caution. To avoid worsening health inequalities, it must be trained across diverse populations, and when errors arise, a robust regulatory framework must be in place to ensure safety and accountability. AI is perfectly positioned to capitalise on the growth of big data, but to proceed we require a generation of physicians who understand its fundamentals.
在未来十年,人工智能(AI)将给心脏病学实践带来变革,从优化诊断到使治疗策略个性化。此外,它在消除心血管疾病结果方面的性别不平等现象中可以发挥重要作用。越来越多的证据表明,人工智能算法在超声心动图分析方面能够与人类相媲美,同时还能够提取人眼无法检测到的细微差异。在心电图分析中也有类似的前景,从而创造出一个新的解读层面。通过大数据,人工智能可以生成使心脏风险因素个性化的算法,并防止在诊断中延续性别偏见。尽管如此,人工智能的实施需要谨慎。为避免加剧健康不平等现象,它必须在不同人群中进行训练,并且当出现错误时,必须有一个强大的监管框架来确保安全和问责制。人工智能完全有能力利用大数据的增长,但要取得进展,我们需要一代了解其基本原理的医生。