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

Measures of Intelligence01:29

Measures of Intelligence

8.4K
Psychologists measure intelligence by using standardized tests that produce a score known as the intelligence quotient or IQ. To understand IQ tests, it's important to recognize the key principles behind their construction: validity, reliability, and standardization.
Validity refers to how well a test measures what it claims to measure. An intelligence test should accurately assess intelligence rather than another characteristic, like anxiety. Criterion validity is one way to evaluate this;...
8.4K
Binet's Contribution to Measures of Intelligence01:23

Binet's Contribution to Measures of Intelligence

1.7K
Alfred Binet, along with his student Théophile Simon, was tasked by the French Ministry of Education in 1904 to create a method for identifying students who struggled to learn through conventional classroom instruction. This initiative aimed to address overcrowding by placing such students in specialized schools. Binet and Simon developed an intelligence test comprising 30 tasks, ranging from simple commands, like touching one's nose or ear, to more complex tasks, such as drawing...
1.7K
Wechsler's Contribution to Measures of Intelligence01:23

Wechsler's Contribution to Measures of Intelligence

2.1K
David Wechsler, a psychologist who worked with World War I veterans, developed a significant IQ test in 1939 called the Wechsler-Bellevue Intelligence Scale. This test was innovative because it combined several subtests that measured both verbal and nonverbal skills, reflecting Wechsler's belief that intelligence is a global capacity involving purposeful action, rational thinking, and effective interaction with the environment. This test later evolved into the Wechsler Adult Intelligence...
2.1K
Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

242
Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
242
Intelligence01:27

Intelligence

8.6K
The term "intelligence" is complex because it refers to both behavior and individuals, and its interpretation varies across cultures. European Americans tend to link intelligence with reasoning and cognitive skills, while in Kenya, it is tied to responsible participation in family and social life. In Uganda, intelligence is seen as the ability to know the right actions and carry them out effectively, while the Iatmul people of Papua New Guinea associate it with the capacity to remember...
8.6K
Multiple Intelligences Theory01:20

Multiple Intelligences Theory

8.9K
Howard Gardner's theory of Multiple Intelligence proposes that there are nine distinct types of intelligence, each reflecting different ways of interacting with the world. Introduced in 1983 and expanded in subsequent years, Gardner's framework challenges the traditional notion of a single, generalized intelligence.
8.9K

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

Evaluation of Tissue Adequacy by Computed Tomography-Guided Needle Biopsy for Comprehensive Genomic Profiling Following Chemotherapy.

Cureus·2026
Same author

Pancreatic cystic lesions revisited: morphologic patterns and diagnostic pitfalls in daily practice.

Abdominal radiology (New York)·2026
Same author

A Rare Case of Clitoral Arterial-Cavernous Shunt Presenting as Urethral Bleeding Treated with Embolization.

Interventional radiology (Higashimatsuyama-shi (Japan)·2026
Same author

Feasibility of two-dimensional multi-segmented late gadolinium enhancement combined with artificial intelligence reconstruction deep-learning noise reduction in patients with non-ischemic cardiomyopathy.

Magnetic resonance imaging·2026
Same author

Deep Learning Reconstruction Enhances Lung Cancer CT Imaging.

Cureus·2026
Same author

Laparoscopic Cholecystectomy Using Indocyanine Green Fluorescence Imaging in a Patient with a Type I Accessory Hepatic Duct (Hisatsugu Classification): A Case Report.

Surgical case reports·2025

相关实验视频

Updated: Jan 28, 2026

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

5.3K

使用基于深度学习的人工智能用于大动脉动脉瘤的自动检测和测量系统.

Jumpei Fujiwara1, Makoto Orii2, Kohei Oyamada3

  • 1Department of Radiology, Iwate Medical University, Yahaba, Morioka, Japan.

The international journal of cardiovascular imaging
|January 27, 2026
PubMed
概括

一个新的深度学习人工智能系统准确地检测大动脉动脉瘤,并在CT扫描上测量大动脉直径. 这种人工智能工具表现出高性能,提高了心血管疾病的诊断准确度.

关键词:
大动脉动脉瘤是一个大动脉动脉瘤.基于深度学习的人工智能非对比的计算机断层扫描.

更多相关视频

Porcine Model of Infrarenal Abdominal Aortic Aneurysm
11:13

Porcine Model of Infrarenal Abdominal Aortic Aneurysm

Published on: November 21, 2019

9.8K
Measurement of Pulse Propagation Velocity, Distensibility and Strain in an Abdominal Aortic Aneurysm Mouse Model
09:32

Measurement of Pulse Propagation Velocity, Distensibility and Strain in an Abdominal Aortic Aneurysm Mouse Model

Published on: February 23, 2020

6.8K

相关实验视频

Last Updated: Jan 28, 2026

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

5.3K
Porcine Model of Infrarenal Abdominal Aortic Aneurysm
11:13

Porcine Model of Infrarenal Abdominal Aortic Aneurysm

Published on: November 21, 2019

9.8K
Measurement of Pulse Propagation Velocity, Distensibility and Strain in an Abdominal Aortic Aneurysm Mouse Model
09:32

Measurement of Pulse Propagation Velocity, Distensibility and Strain in an Abdominal Aortic Aneurysm Mouse Model

Published on: February 23, 2020

6.8K

科学领域:

  • 放射学 放射学是一门学科.
  • 人工智能的人工智能
  • 医疗成像医学成像

背景情况:

  • 大动脉动脉瘤是死亡的一个重要原因.
  • 准确的检测和测量对于有效的管理至关重要.
  • 非对比CT是一种常见的成像模式用于大动脉评估.

研究的目的:

  • 评估一个深度学习的人工智能 (DLAI) 系统,用于检测状大动脉动脉瘤.
  • 评估DLAI系统在非对比CT图像上测量大动脉直径的准确性.

主要方法:

  • 追溯采集了160张非对比CT图像用于培训和190张用于验证.
  • 将DLAI系统的性能与放射学报告和专家放射科医生审查进行比较.
  • 计算大动脉细分和动脉瘤检测指标 (灵敏度,PPV,F测量) 的Dice得分.

主要成果:

  • 大动脉细分的高子得分:0.90 (整个大动脉),0.94 (胸部),0.93 (腹部),0.84 (阴道).
  • DLAI系统的灵敏度,PPV和F测量为0.81,0.83和0.82用于动脉瘤检测,在放射科医生审查后改善到0.83,0.87和0.85.
  • 动脉瘤直径测量的强相关性 (ICC=0.97),平均误差为0.86 ± 2.72mm.

结论:

  • DLAI系统在检测大动脉动脉瘤方面表现出高度准确性.
  • 该系统在非对比CT扫描上有效测量大动脉直径.
  • 这种人工智能工具有可能改善大动脉疾病的诊断和监测.