相关实验视频

Updated: Jul 1, 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

肝癌研究中的人工智能:对趋势和主题的科学测量分析

Mohammad Saeid Rezaee-Zavareh1, Naomy Kim2, Yee Hui Yeo2

  • 1Middle East Liver Diseases Center, Tehran, Iran.

Frontiers in oncology
|March 14, 2024
PubMed
概括

人工智能 (AI) 正在迅速推进肝癌研究,在过去十年中,AI相关的出版物增加了12.7倍. 关键应用包括医学图像分析,诊断生物标志物和基因组分析,其中中国,美国和德国有着主要的贡献.

关键词:
人工智能的人工智能是人工智能.肝癌 肝癌 是一种肝癌.机器学习是机器学习.发布趋势分析的出版物科学测量公司的科学测量.

更多相关视频

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

6.8K
Author Spotlight: Advancing Hepatic Fibrosis Diagnosis Using Magnetic Resonance Elastography and AI06:09

Author Spotlight: Advancing Hepatic Fibrosis Diagnosis Using Magnetic Resonance Elastography and AI

Published on: July 21, 2023

1.2K

相关概念视频

Cancer Survival Analysis01:21

Cancer Survival Analysis

Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
345