评估人工智能和机器学习研究在神经放射学中的出现和演变
Alexandre Boutet1, Samuel S Haile2, Andrew Z Yang3
1From the Joint Department of Medical Imaging (A.B., M.N.), University Health Network, University of Toronto, Toronto, Ontario, Canada alexandre.boutet@uhn.ca.
AJNR. American journal of neuroradiology
|March 23, 2024
概括
人工智能 (AI) 和机器学习 (ML) 在神经放射学方面的研究正在迅速增加,但大多数研究都专注于开发,而不是临床使用. 未来的工作应该优先考虑外部验证,偏见和可解释性,以实现实际的AI集成.
科学领域:
- 神经辐射学神经辐射学
- 人工智能 (AI) 是一种人工智能.
- 机器学习 (ML) 是指机器学习.
背景情况:
- 在神经放射学中对AI/ML的兴趣日益增长.
- 对AI/ML研究特征和演变的理解有限.
- 需要分析AI/ML出版物中的趋势和挑战.
研究的目的:
- 描述AI/ML文章在神经放射学中的出现和演变.
- 提供趋势,挑战和未来方向的概述.
- 确定限制AI/ML临床整合的因素.
主要方法:
- 美国神经放射学杂志 (1980-2022) 的图书统计分析.
- 关键词:AI,ML,放射学,深度学习,神经网络,GAN,对象检测,NLP.
- 分类:统计建模 (类型 1),AI/ML开发 (类型 2),最终用户应用 (类型 3).
主要成果:
- 发现了182件产品;79%的产品没有整合 (第1类和第2类),21%的最终用户应用 (第3类).
- 在过去的5年中,出版物增长了5倍,主要是非整合性文章.
- 少数类型2文章涉及偏见 (22%) 和可解释性 (16%).
结论:
- 人工智能/机器学习出版物迅速增加,但最终用户应用有限.
- 需要改进的领域:AI/ML开发中的外部验证,偏见和可解释性.
- 在神经放射学中促进转向实际AI/ML集成.
更多相关视频
05:49Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
Published on: February 23, 2024
834
04:09Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
Published on: October 10, 2018
8.2K
相关概念视频
01:14Brain Imaging
228
Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans), magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans), magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
228
01:24Magnetic Resonance Imaging
5.1K
Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
5.1K