The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 601 North Caroline Street, Baltimore, MD 21287, USA.
The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 601 North Caroline Street, Baltimore, MD 21287, USA.
J Med Imaging Radiat Sci. 2024 Dec;55(4):101377. doi: 10.1016/j.jmir.2024.02.002. Epub 2024 Feb 24.
Uncertainty regarding the future of radiologists is largely driven by the emergence of artificial intelligence (AI). If AI succeeds, will radiologists continue to monopolize imaging services? As AI accuracy progresses with alacrity, radiology reads will be excellent. Some articles show that AI can make non-radiologists experts. However, eminent figures within AI development have expressed concerns over its possible adverse uses. Bad actors, not bad AI, may account for a future in which AI is not as successful as we might hope and, as some fear, even pernicious. More relevant to current predictions over the course of AI in medicine, and radiology in particular, is how the evolution of AI is often seen in a vacuum. We cannot predict the future with certainty. But as we contemplate the potential impact of AI in radiology, we should remember that radiology does not exist in a vacuum; while AI is changing, so is everything else. The medical system, not to mention the world's population, has been severely impacted by the global COVID-19 pandemic and numerous experts expect future worldwide pandemics. We cannot predict the condition of the healthcare system in two decades but may assume that radiology will likely remain critical in any future medical practice. For now, we should responsibly use all tools at our disposal (including AI) to make ourselves as indispensable as possible. Our best chances of remaining relevant and instrumental to patient care will likely hinge on our ability to lead the changes rather than be passively impacted by them.
对放射科医生未来的不确定性在很大程度上是由人工智能 (AI) 的出现所驱动的。如果 AI 取得成功，放射科医生是否还能继续垄断影像服务？随着 AI 准确性的迅速提高，放射科的读片将变得非常出色。一些文章表明，AI 可以使非放射科医生成为专家。然而，人工智能发展中的杰出人物对其可能被滥用表示担忧。造成未来 AI 不如我们所希望的那样成功，甚至可能产生有害影响的，可能是不良行为者，而不是不良的 AI。更相关的是当前对人工智能在医学，特别是放射学中的发展的预测，通常认为 AI 的发展是在真空中进行的。我们不能确定地预测未来。但是，当我们考虑 AI 在放射学中的潜在影响时，我们应该记住，放射学不是孤立存在的；随着 AI 的发展，其他一切也在发展。医疗系统，更不用说世界人口，都受到了全球 COVID-19 大流行的严重影响，许多专家预计未来还会有全球性的大流行。我们无法预测未来二十年医疗体系的状况，但可以假设，放射学在任何未来的医疗实践中都可能仍然至关重要。目前，我们应该负责任地利用我们现有的所有工具（包括 AI），使自己尽可能不可或缺。我们保持相关性并对患者护理产生积极影响的最佳机会可能取决于我们引领变革的能力，而不是被动地受到它们的影响。
