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

Assessment of the Gastrointestinal System II: Health Perception Pattern01:29

Assessment of the Gastrointestinal System II: Health Perception Pattern

103
Assessing the gastrointestinal (GI) system is a complex process that begins with collecting subjective data. This data, collected through patient interviews, provides crucial insights into the patient's health history, perception patterns, and lifestyle habits, all contributing significantly to GI health.
Health Perception Patterns
Health perception patterns offer valuable insights into a patient's lifestyle habits and how they may impact their GI health. These patterns include:
103
Assessment of the Gastrointestinal System I: Subjective Data01:17

Assessment of the Gastrointestinal System I: Subjective Data

177
Assessing the gastrointestinal (GI) system is a complex process that begins with collecting subjective data. This data, collected through patient interviews, provides crucial insights into the patient's health history, perception patterns, and lifestyle habits, all contributing significantly to GI health.
Health History
The initial step in assessing the GI system is obtaining a comprehensive health history. This includes inquiring about the patient's history or presence of problems...
177
What is Monogastric Digestion?01:50

What is Monogastric Digestion?

71.1K
The human body contains a monogastric digestive system. In a monogastric digestive system, the stomach only contains one chamber in which it digests food. Several other animal species also have monogastric digestive systems, including pigs, horses, dogs, and birds. This chapter, however, focuses on the human digestive system.
71.1K
Imaging Studies III: Gastrointestinal Motility Studies and Virtual Colonoscopy01:26

Imaging Studies III: Gastrointestinal Motility Studies and Virtual Colonoscopy

74
This lesson explores three gastrointestinal imaging techniques: radionuclide testing, colonic transit studies, and virtual colonoscopy.
Radionuclide Testing
Radionuclide testing is a sophisticated medical technique for assessing gastrointestinal motility. It focuses on gastric emptying and colonic transit time. Radioactive markers track the movement of food through the digestive system, providing insights into gastrointestinal disorders.
In gastric emptying studies, a meal's liquid and...
74
Gastrointestinal Motility Disorders01:20

Gastrointestinal Motility Disorders

336
Gastrointestinal or GI motility disorders are characterized by irregular gastrointestinal tract movements, disrupting food transit from the mouth to the anus. They are caused by damage or dysfunction in gut muscles or nerves. These disorders can cause symptoms such as severe constipation, diarrhea, abdominal pain, and swallowing difficulties. Disorders can affect any segment of the GI tract and range widely in severity, from common conditions like GERD to life-threatening conditions like...
336

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

A novel ZNF263-SMOX-ROS-TRIB3 signaling axis drives Wnt/β-catenin activation and metastatic progression in colorectal cancer.

Apoptosis : an international journal on programmed cell death·2026
Same author

PDIA6-SCD1 Axis Rewires Lipid Metabolism to Drive Gastric Cancer Progression.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

CA9 targets ITGB1 to accelerate the progression of colorectal cancer by promoting the neutrophil extracellular traps formation.

Journal of translational medicine·2026
Same author

Nuclear KRT19 links the NF-κB-FSCN1 signaling to gastric cancer metastasis.

Communications biology·2026
Same author

Targeting the ODC1-YBX1 axis reverses gastric cancer chemoresistance via transcriptional control of SLC7A11-mediated ferroptosis.

Cell death discovery·2026
Same author

Unveiling the prognostic and therapeutic landscape of the zinc transporter protein SLC39A family in colorectal cancer through multi-omics and machine learning approaches.

Clinical and experimental medicine·2026

相关实验视频

Updated: Jun 24, 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

一个高效的计算框架,用于预测胃肠道疾病,使用基于注意力的转移学习.

Jiajie Zhou1, Wei Song1, Yeliu Liu1

  • 1Huai'an First People's Hospital, Nanjing Medical University, Jiangsu, China.

PeerJ. Computer science
|June 10, 2024
PubMed
概括
此摘要是机器生成的。

一个新的计算机辅助诊断 (CAD) 系统有效地使用转移学习和注意力机制对胃肠道 (GI) 图像进行分类. 这种由人工智能驱动的工具显示出高准确性,提高了胃肠道疾病的诊断速度和可靠性.

关键词:
注意力 注意力 注意力 注意力数据科学是数据科学.深度学习是一种深度学习.胃肠道疾病 胃肠道疾病转移学习转移学习

更多相关视频

Author Spotlight: Reliable and Reproducible In Vitro Assessment of Drug Impact on Rat Intestinal Tubes
06:01

Author Spotlight: Reliable and Reproducible In Vitro Assessment of Drug Impact on Rat Intestinal Tubes

Published on: July 26, 2024

545
Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
03:37

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

Published on: March 1, 2024

692

相关实验视频

Last Updated: Jun 24, 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
Author Spotlight: Reliable and Reproducible In Vitro Assessment of Drug Impact on Rat Intestinal Tubes
06:01

Author Spotlight: Reliable and Reproducible In Vitro Assessment of Drug Impact on Rat Intestinal Tubes

Published on: July 26, 2024

545
Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
03:37

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

Published on: March 1, 2024

692

科学领域:

  • 医疗成像医学成像
  • 人工智能在医学中的应用
  • 胃肠病学 胃肠病学

背景情况:

  • 诊断胃肠道 (GI) 疾病是具有挑战性的,因为各种表现和手册审查的时间密集性.
  • 计算机辅助诊断 (CAD) 系统提供自动化,以提高胃肠道诊断的效率和准确性.
  • 现有的CAD系统需要对大型医疗数据集的安全性和可靠性进行增强.

研究的目的:

  • 开发一个有效的CAD系统来分类八种类型的GI图像.
  • 提高人工智能驱动的胃肠病诊断工具的安全性和可靠性.

主要方法:

  • 利用转移学习与注意力机制用于图像分类.
  • 使用ConvNeXt预训练网络进行特征提取.
  • 在GI图像的数据集上评估了拟议的ConvNeXt+AttentionCAD系统.

主要成果:

  • 与其他最先进的方法相比,ConvNeXt+Attention系统表现出卓越的性能.
  • 在接收器运行特征曲线 (AUC) 下的面积达到0.9997.7.
  • 实现了0.9973的精度回忆曲线 (AUPRC) 下的面积,表明了出色的诊断能力.

结论:

  • 拟议的ConvNeXt+Attention CAD系统是对GI图像进行分类的强大而有效的工具.
  • 该研究强调了将转移学习和注意力机制结合起来,为先进的医学诊断提供潜力.
  • 开发的系统有望提高诊断胃肠道疾病的准确性和效率.