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

Mechanical Efficiency of Real Machines01:14

Mechanical Efficiency of Real Machines

The mechanical efficiency of a machine is a fundamental concept that describes how effectively a machine can convert input work into output work. According to this concept, the efficiency of a machine is equal to the ratio of the output work to the input work. An ideal machine, meaning a machine that has no energy losses, has an efficiency of one. This implies that the input work and the output work are equal.
However, in reality, no machine can be truly ideal, and all of them experience some...
Simplified Synchronous Machine Model01:30

Simplified Synchronous Machine Model

The Synchronous Machine Model is a fundamental tool in analyzing and ensuring the transient stability of power systems. This model simplifies the representation of a synchronous machine under balanced three-phase positive-sequence conditions, assuming constant excitation and ignoring losses and saturation. The model is pivotal for understanding the behavior of synchronous generators connected to a power grid, particularly during transient events.
In this model, each generator is connected to a...
Clearance Models: Physiological Models01:09

Clearance Models: Physiological Models

Drug clearance is a critical pharmacokinetic process involving the irreversible removal of drugs from the body through various organs over a specified time period. Physiological models are indispensable in determining organ-specific clearance, defined by the proportion of the drug eliminated per unit of time from the organ's blood volume.
The organ's clearance rate depends on the blood flow to the organ and the extraction ratio (E). The extraction ratio describes the organ's proficiency in drug...
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least squares (OLS)...
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
Model Approaches for Pharmacokinetic Data: Physiological Models01:15

Model Approaches for Pharmacokinetic Data: Physiological Models

Physiological models in pharmacokinetics are instrumental in understanding the distribution and elimination of drugs within the body. These models describe the drug concentration within target organs, influenced by factors such as drug uptake, tissue volume, and blood flow. Drug uptake is governed by the partition coefficient, which signifies the drug concentration ratio in tissue to that in the blood. The blood flow rate to a specific tissue is expressed as Qt, and the rate of change in tissue...

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

Aesthetic Component of the Index of Orthodontic Treatment Need (IOTN): Can large language models match the performance of orthodontists?

Korean journal of orthodontics·2026
Same author

Mechanical Performance of a Monolithic 3D-Printed Orthodontic Bracket-Crown System: An In-Vitro Study.

Materials (Basel, Switzerland)·2026
Same author

3D Gaussian Splatting vs. 2D Photogrammetry and Direct Anthropometry for Facial Measurements.

Orthodontics & craniofacial research·2026
Same author

Three-Dimensional Accuracy of Digitally Planned Orthodontic Tooth Movement in a Fully Customized Self-Ligating Lingual System.

Bioengineering (Basel, Switzerland)·2026
Same author

Camera-Based Monocular Depth Estimation in Orthodontics: Vision Transformer vs. CNN Model Performance.

Sensors (Basel, Switzerland)·2025
Same author

Accuracy of 3D Printer Technologies Using Digital Dental Models.

Turkish journal of orthodontics·2025

相关实验视频

Updated: Jun 29, 2026

Author Spotlight: 3D Movement Assessment of Maxillary Posterior Teeth in Clear Aligner Treatment
07:32

Author Spotlight: 3D Movement Assessment of Maxillary Posterior Teeth in Clear Aligner Treatment

Published on: February 23, 2024

1.8K

使用多模式语言模型的正统牙生物机械推理:性能和临床实用性

Arda Arısan1, Celal Genç2, Gökhan Serhat Duran2

  • 1Independent Researcher, Ankara 06510, Turkey.

Bioengineering (Basel, Switzerland)
|November 27, 2025
PubMed
概括

多模式大语言模型 (LLM) 显示了正统牙科生物机械分析的潜力. GPT-o3在评估正牙力系统方面表现最高,这表明未来的临床决策支持能力.

关键词:
在牙科工程中的AI.生物机械推理的推理临床决策支持 临床决策支持多模式的大型语言模型整形牙科生物力学矯正牙科 矯正牙科是指矯正牙科的專業.

更多相关视频

Author Spotlight: Insights into an Efficient Murine Maxillary Orthodontic Model Protocol
04:11

Author Spotlight: Insights into an Efficient Murine Maxillary Orthodontic Model Protocol

Published on: October 27, 2023

1.3K
Studying Orthodontic Tooth Movement in Mice
07:17

Studying Orthodontic Tooth Movement in Mice

Published on: August 2, 2024

1.4K

相关实验视频

Last Updated: Jun 29, 2026

Author Spotlight: 3D Movement Assessment of Maxillary Posterior Teeth in Clear Aligner Treatment
07:32

Author Spotlight: 3D Movement Assessment of Maxillary Posterior Teeth in Clear Aligner Treatment

Published on: February 23, 2024

1.8K
Author Spotlight: Insights into an Efficient Murine Maxillary Orthodontic Model Protocol
04:11

Author Spotlight: Insights into an Efficient Murine Maxillary Orthodontic Model Protocol

Published on: October 27, 2023

1.3K
Studying Orthodontic Tooth Movement in Mice
07:17

Studying Orthodontic Tooth Movement in Mice

Published on: August 2, 2024

1.4K

科学领域:

  • 人工智能在牙科中的应用
  • ортодонтическая 生物力学 ортодонтическая 生物力学
  • 临床决策支持系统 临床决策支持系统

背景情况:

  • 多模式大语言模型 (LLM) 正在成为临床支持工具.
  • 它们对正义牙生物机械推理的能力仍然未被评估.
  • 这项研究评估了LLMs分析正治疗机制的能力.

研究的目的:

  • 系统地评估多式大型语言模型 (LLM) 对于正统牙科生物机械推理的能力.
  • 探索LLMs在支持正义牙科决策方面的潜在作用.
  • 为了比较不同LLM在分析正力系统中的性能.

主要方法:

  • 五个多式大型语言模型 (LLM) 分析了56张标准化口腔内照片的正牙力系统.
  • 三位经验丰富的正牙医使用5分尺度评估了观察,解释,生物力学和信心的模型输出.
  • 进行了评估者之间的可靠性和模型之间的统计比较.

主要成果:

  • GPT-o3获得了最高的综合分数 (66.8%),明显超过了克劳德 (57.8%),双子座 (52.6%),GPT-4.0 (48.8%) 和格洛克 (38.8%).
  • 在专家评价者中观察到卓越的评价者之间的可靠性 (ICC:0.786-0.802).
  • 模型自我报告的信心与专家评级的输出质量相关性很差.

结论:

  • 多模式大语言模型 (LLM) 显示了协助正统牙科生物机械评估的新兴潜力.
  • 专家指导的验证可以增强LLM对牙矯正临床决策支持的贡献.
  • 在日常的正牙护理中,LLM可以在各种生物机械场景中提供有价值的支持.