[放射学中的人工智能——定义、潜力与挑战]
[Artificial Intelligence in Radiology - Definition, Potential and Challenges].
作者信息
Baessler Bettina
机构信息
Institut für Diagnostische und Interventionelle Radiologie, Universitätsspital Zürich.
出版信息
Praxis (Bern 1994). 2021 Jan;110(1):48-53. doi: 10.1024/1661-8157/a003597.
Artificial Intelligence in Radiology - Definition, Potential and Challenges Artificial Intelligence (AI) is omnipresent. It has neatly permeated our daily life, even if we are not always fully aware of its ubiquitous presence. The healthcare sector in particular is experiencing a revolution which will change our daily routine considerably in the near future. Due to its advanced digitization and its historical technical affinity radiology is especially prone to these developments. But what exactly is AI and what makes AI so potent that established medical disciplines such as radiology worry about their future job perspectives? What are the assets of AI in radiology today - and what are the major challenges? This review article tries to give some answers to these questions.
放射学中的人工智能——定义、潜力与挑战 人工智能无处不在。它已巧妙地渗透到我们的日常生活中，即便我们并非总能充分意识到它的普遍存在。尤其是医疗保健领域正在经历一场变革，这将在不久的将来极大地改变我们的日常生活。由于其先进的数字化以及历史上与技术的紧密联系，放射学尤其容易受到这些发展的影响。但人工智能究竟是什么，又是什么让人工智能如此强大，以至于像放射学这样的传统医学学科会担心其未来的就业前景呢？如今人工智能在放射学中的优势有哪些——以及主要挑战是什么？这篇综述文章试图对这些问题给出一些答案。
Zotero 插件