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

Classification of Signals01:30

Classification of Signals

1.3K
In signal processing, signals are classified based on various characteristics: continuous-time versus discrete-time, periodic versus aperiodic, analog versus digital, and causal versus noncausal. Each category highlights distinct properties crucial for understanding and manipulating signals.
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
1.3K
Force Classification01:22

Force Classification

2.3K
Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
2.3K
Assessment of Ventilation II: Respiratory Depth and Rhythm01:29

Assessment of Ventilation II: Respiratory Depth and Rhythm

2.4K
Respiratory Depth
Respiratory depth measures the volume of air inhaled or exhaled during a breath. It can vary from shallow to deep and typically remains consistent when a person is at rest or asleep. Occasionally, individuals will automatically inhale deeply, known as sighing, which inflates the lungs with more air than normal breathing.
To assess respiratory depth, observe the degree of chest excursion or movement:
2.4K
Assessment of Respiration01:23

Assessment of Respiration

1.8K
The respiratory system's basic structures and primary functions lay the foundation for nurses' comprehensive respiratory assessments. This assessment includes subjective and objective data to gauge the patient's respiratory health.
Subjective Assessment: Nurses interview the patient to gather information directly during the subjective assessment. It includes questions about the individual's medical history, medications, and symptoms, focusing on past respiratory conditions like...
1.8K
Air-entraining Agents01:27

Air-entraining Agents

251
Air-entraining agents improve the durability and workability of concrete in climates with frequent freezing and thawing. These agents prevent cracks by introducing small air bubbles into the mix, creating spaces accommodating water expansion when temperatures drop. The air-entraining agents lower the surface tension of water, forming stable, small air bubbles. This method is more effective than having accidental large voids, as the intentional, smaller, and evenly distributed air voids improve...
251

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

Cognitively Biased Prompt Effects on Large Language Model Accuracy for Radiology Board-style Examination Questions.

Radiology. Artificial intelligence·2026
Same author

Greener by Design: Weighing the Environmental Impact of Radiology AI Development.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes·2025
Same author

Adversarial AI in Radiology: A Hidden Threat.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes·2025
Same author

Evaluating Adherence to Canadian Radiology Guidelines for Incidental Hepatobiliary Findings Using RAG-Enabled LLMs.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes·2025
Same author

Inhibition of Myocardin-related Transcription Factor A Ameliorates Pathological Remodeling of the Pressure-loaded Right Ventricle.

American journal of respiratory cell and molecular biology·2024
Same author

Regulation of the RhoA exchange factor GEF-H1 by profibrotic stimuli through a positive feedback loop involving RhoA, MRTF, and Sp1.

American journal of physiology. Cell physiology·2024

相关实验视频

Updated: Jan 13, 2026

Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections
06:22

Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections

Published on: September 19, 2025

423

评估基于光谱图的肺声音分类的几次射击提示,使用多式模式语言模型.

Nicholas Dietrich1, David McShannon2, Mark F Rzepka3

  • 1Temerty Faculty of Medicine, University of Toronto, 1 King's College Cir, Toronto, Ontario, Canada.

PLOS digital health
|January 7, 2026
PubMed
概括
此摘要是机器生成的。

大型语言模型 (LLM) 对肺声音分类有希望. 使用GPT-4o进行少量射击提示,比零射击提高了准确性,尽管临床使用需要进一步开发.

更多相关视频

Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

914
Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
09:09

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Published on: September 27, 2024

807

相关实验视频

Last Updated: Jan 13, 2026

Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections
06:22

Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections

Published on: September 19, 2025

423
Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

914
Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
09:09

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Published on: September 27, 2024

807

科学领域:

  • 人工智能的人工智能
  • 生物医学信号处理
  • 呼吸系统医学 呼吸系统医学

背景情况:

  • 传统的深度学习用于肺声分析需要大量的标记数据.
  • 多模式大语言模型 (LLM) 提供了一个潜在的基于提示符的替代方案.
  • 评估通用LLM用于呼吸声分类至关重要.

研究的目的:

  • 评估GPT-4o在使用MEL光谱图的肺声分类方面的实用性.
  • 为了比较这项任务的几次拍摄提示与零次拍摄提示.
  • 在呼吸道声学中建立基于提示的多式推理的基线.

主要方法:

  • 从ICBHI 2017数据库转换了6898个注释的呼吸循环到mel谱图.
  • 采用GPT-4o的零射击和少数射击提示策略进行分类.
  • 使用准确度,精度,回忆,F1得分和McNemar的测试来评估性能.

主要成果:

  • 几次射击提示在准确度 (0.363比0.320) 和其他指标方面取得了统计学上显著的改善.
  • 模型可重复性分析显示高度一致 (κ = 0.76-0.88),表明出色的一致性.
  • 绩效增长有限,但在统计学上是显著的 (p < 0.001).

结论:

  • GPT-4o显示出基于提示的肺声音分类的潜力,少数射击提示的性能优于零射击.
  • 目前的性能不足以用于临床部署,但为未来的研究提供了基础.
  • 基于提示的多模式推断为呼吸医学中的谱图分析提供了灵活的方法.