Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Key requirements for developing a self-care mobile application for tuberculosis: A mixed-method approach based on systematic review and needs assessment.

Scientific reports·2026
Same author

Sensor-Equipped Digital Technologies for Monitoring and Detecting Depressive Disorders: A Systematic Review.

Health science reports·2026
Same author

Promoting Medication Adherence in the Elderly: Factors and Insights From a Cross-Sectional Study.

Aging medicine (Milton (N.S.W))·2026
Same author

Identification of Important Diagnostic Genes in the Uterine Using Bioinformatics and Machine Learning.

Medical journal of the Islamic Republic of Iran·2025
Same author

The Morisky Method for Measuring Medication Adherence in Older Adults With Chronic Diseases: A Cross-Sectional Study.

Health science reports·2025
Same author

Comparing the Effectiveness of Artificial Intelligence Models in Predicting Ovarian Cancer Survival: A Systematic Review.

Cancer reports (Hoboken, N.J.)·2025

相关实验视频

Updated: Jul 8, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

583

量子机器学习的瘤学应用.

Milad Rahimi1, Farkhondeh Asadi1

  • 1Department of Health Information Technology and Management, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Technology in cancer research & treatment
|December 18, 2023
PubMed
概括

量子机器学习 (QML) 在瘤学方面表现有前途,改善了癌症的诊断和治疗. 这篇评论强调了QML的重点.

科学领域:

  • 量子计算是一种量子计算.
  • 机器学习 机器学习
  • 在瘤学瘤学.

背景情况:

  • 癌症仍然是全球主要的健康挑战.
  • 机器学习 (ML) 和量子计算 (QC) 的重大进展正在出现.
  • 量子机器学习 (QML) 在医疗保健中展示了与经典机器学习相比的潜在优势.

研究的目的:

  • 审查和报告QML在瘤学中的具体应用.
  • 综合当前关于QML在癌症治疗中的作用的研究.

主要方法:

  • 在2023年3月在主要科学数据库 (PubMed,Scopus,科学网,IEEE,Cochrane) 进行了全面的文献搜索.
  • 根据标题和摘要对检索的文章进行选,然后对全文进行检查.
  • 对精选的研究进行系统审查,重点关注瘤学中的QML.

主要成果:

  • 在对207项研究进行初步检索后,包括了9篇相关文章.
  • 大多数被纳入的研究都是从2020年起发表的,这表明最近的进展.
  • 识别的QML应用包括乳腺镜像降噪,乳腺癌边缘检测,放射治疗临床决策支持和癌症分类.

结论:

关键词:
癌症 癌症 癌症 癌症 癌症机器学习是机器学习.瘤学 在瘤学方面.量子计算机是一个量子计算机.量子机器学习就是量子机器学习.

更多相关视频

Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography
09:53

Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography

Published on: August 16, 2020

7.3K
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

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

Published on: August 16, 2020

6.8K

相关实验视频

Last Updated: Jul 8, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

583
Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography
09:53

Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography

Published on: August 16, 2020

7.3K
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

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

Published on: August 16, 2020

6.8K
  • 量子科学和ML的整合提供了显著的潜力,以提高患者护理和瘤学的临床结果.
  • 需要进一步的研究来探索QC-ML集成,并开发新的算法,以改善癌症预后,诊断和治疗计划.