放射学中的人工智能:它现在的真正作用是什么,证据在哪里?
Alireza Mohseni1, Elena Ghotbi1, Foad Kazemi1
1Johns Hopkins University School of Medicine, 600 N. Wolfe Street / Phipps 446, Baltimore, MD 21287, USA.
Radiologic clinics of North America
|October 11, 2024
概括
人工智能 (AI) 正在改变放射学中的诊断成像. 这种技术,包括机器学习和深度学习,有望提高能力,简化工作流程,改善患者护理.
科学领域:
- 放射学 放射学是一门学科.
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 集成正在彻底改变诊断成像.
- 最近的研究和调查探讨了人工智能对放射学的影响.
研究的目的:
- 提供关于放射学AI应用的当前研究的概述.
- 重点介绍人工智能对放射科医生工作量预期影响的关键见解.
主要方法:
- 对近期关于放射学AI的研究和调查的文献综述.
- 分析AI的作用,包括机器学习和深度学习.
主要成果:
- 人工智能显示出有很大的潜力来推进诊断成像.
- 机器学习和深度学习是放射学AI的关键组成部分.
- 人工智能预计将影响诊断放射科医生的工作量.
结论:
- 人工智能对提高放射学诊断能力具有很大的前景.
- 人工智能集成可以提高工作流程效率和患者护理.
- 人工智能在放射学中的未来作用是显著的和变革性的.
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