相关实验视频

Updated: Jun 20, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting 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

人工智能/机器学习用于神经成像来预测出血转变:系统性审查/元分析

Richard Dagher1, Burak Berksu Ozkara1, Mert Karabacak2

  • 1Department of Neuroradiology, MD Anderson Cancer Center, Houston, Texas, USA.

Journal of neuroimaging : official journal of the American Society of Neuroimaging
|July 22, 2024
PubMed
概括

人工智能和机器学习模型在急性缺血性中风患者中可靠地预测出血性转变. 为了提高临床确定性和子组分析,建议进行进一步的前性研究.

关键词:
人工智能的人工智能是人工智能.血液变化的出血转化机器学习是机器学习.一次性中风中风中风中风中风

更多相关视频

Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI—Application in Premanifest Huntington's Disease09:06

Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI—Application in Premanifest Huntington's Disease

Published on: June 9, 2018

12.1K
Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images14:08

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

42.6K

相关概念视频

Brain Imaging01:14

Brain Imaging

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...
224