Radiology in the era of artificial intelligence (AI): Opportunities and challenges.
作者信息
Debnath Jyotindu
机构信息
MG Med, HQ, Uttar Bharat Area, C/o 56 APO, India.
出版信息
Med J Armed Forces India. 2023 Jul-Aug;79(4):369-372. doi: 10.1016/j.mjafi.2023.05.003. Epub 2023 Jun 2.
Abstract
摘要
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本文引用的文献
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Barriers to artificial intelligence implementation in radiology practice: What the radiologist needs to know.人工智能在放射科实践中的应用障碍：放射科医生需要了解的内容。
Radiologia (Engl Ed). 2022 Jul-Aug;64(4):324-332. doi: 10.1016/j.rxeng.2022.04.001.
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Use of artificial intelligence in emergency radiology: An overview of current applications, challenges, and opportunities.人工智能在急诊放射学中的应用：当前应用、挑战和机遇概述。
Clin Imaging. 2022 Sep;89:61-67. doi: 10.1016/j.clinimag.2022.05.010. Epub 2022 May 30.
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Artificial Intelligence in Radiology: an introduction to the most important concepts.人工智能在放射学中的应用：介绍最重要的概念。
Radiologia (Engl Ed). 2022 May-Jun;64(3):228-236. doi: 10.1016/j.rxeng.2022.03.005.
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Trend in radiologist workload compared to number of admissions in the emergency department.与急诊科入院人数相比，放射科医生工作量的趋势。
Eur J Radiol. 2022 Apr;149:110195. doi: 10.1016/j.ejrad.2022.110195. Epub 2022 Feb 3.
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Are We Overdoing It? Changes in Diagnostic Imaging Workload during the Years 2010-2020 including the Impact of the SARS-CoV-2 Pandemic.我们是否做得过头了？2010年至2020年期间诊断成像工作量的变化，包括2019冠状病毒病大流行的影响。
Healthcare (Basel). 2021 Nov 16;9(11):1557. doi: 10.3390/healthcare9111557.
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Workload for radiologists during on-call hours: dramatic increase in the past 15 years.放射科医生值班期间的工作量：在过去15年中急剧增加。
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