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

Clinical Trials: Overview01:11

Clinical Trials: Overview

3.4K
Clinical development focuses on how the drug will interact with the human body and encompasses four key phases of clinical trials, each serving a specific purpose in assessing the safety and effectiveness of new drugs. These phases overlap and build upon one another. Phase I involves a small group of healthy volunteers (typically 20-80 individuals) or, in cases where significant toxicity is expected, patients with the targeted disease, such as cancer or AIDS. The volunteers are tested for...
3.4K
Clinical Trials01:16

Clinical Trials

7.5K
Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
There are four phases in a clinical trial. A phase one...
7.5K
Improving Translational Accuracy02:07

Improving Translational Accuracy

11.8K
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
11.8K
Pharmacokinetic Models: Comparison and Selection Criterion01:26

Pharmacokinetic Models: Comparison and Selection Criterion

147
Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
147
Guidelines for Nursing Documentation II01:26

Guidelines for Nursing Documentation II

1.1K
Effective documentation is an integral part of nursing practice. Here are some essential guidelines to follow when documenting patient care:
Timely documentation is crucial to ensure continuity of care for patients. Any delays in recording or reporting medical information can result in medical errors and even adverse patient outcomes. From medication administration to diagnostic test results, every detail must be accurately and promptly documented to provide the best possible care for patients.
1.1K
Guidelines for Writing Outcome01:11

Guidelines for Writing Outcome

3.0K
When developing expected outcomes for a patient care plan, the nurse should adhere to the following recommendations:
Patient outcomes reflect the patient's response to the goal rather than what the nurse aims to achieve. Terminology should be observable and measurable to avoid the reader's interpretation. The desired outcome should be realistic and achievable in the designated care timeframe. Expected outcomes should align with adjunctive therapies. The outcome should enhance care...
3.0K

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

Voice-Based Structured Nursing Documentation Using Automatic Speech Recognition and Large Language Models: Development and Evaluation Study.

JMIR nursing·2026
Same author

Benchmarking Large Language Models on the Taiwan Neurology Board Examinations (2018-2024): A Comparative Evaluation of GPT-4o, GPT-o1, DeepSeek-V3, and DeepSeek-R1.

Bioengineering (Basel, Switzerland)·2026
Same author

Novel two-stage deep learning framework for automated pressure injury classification.

BMJ health & care informatics·2026
Same author

Response to: Comment on 'comparative effectiveness of clopidogrel vs. potent P2Y12 inhibitors in CYP2C19 normal metabolizers following percutaneous coronary intervention: A real-world cohort study'.

British journal of clinical pharmacology·2026
Same author

Improving Medication Adherence in Heart Failure Through Pharmacist-Led Patient Education: Protocol for a Mechanism-Based Study of Information, Motivation, and Behavioral Skills.

Patient preference and adherence·2025
Same author

Implementation of Medication-Related Technology and Its Impact on Pharmacy Workflow: Real-World Evidence Usability Study.

Journal of medical Internet research·2025
Same journal

Correction: Call for Decision Support for Electrocardiographic Alarm Administration Among Neonatal Intensive Care Unit Staff: Multicenter, Cross-Sectional Survey.

Journal of medical Internet research·2026
Same journal

A Futures Framework for Clinical AI Governance: Anticipating Emerging Risks, Shifting Roles, and Regulatory Challenges.

Journal of medical Internet research·2026
Same journal

Using a Large Language Model to Support Thematic Analysis of Patient Experiences in Chronic Illness Management: Comparative Qualitative Study.

Journal of medical Internet research·2026
Same journal

Combined Internet-Based Cognitive Behavioral Therapy and Face-to-Face Physiotherapy in Primary Health Care for Chronic Widespread Pain: Randomized Controlled Trial.

Journal of medical Internet research·2026
Same journal

Operationalizing Digital Health Equity in Artificial Intelligence-Enabled Patient Decision Aids for Older Adults: Mixed Methods Study.

Journal of medical Internet research·2026
Same journal

Automated Prediction of Glasgow Coma Scale Scores From Unstructured Electronic Health Records Using Natural Language Processing: Development and Validation Study.

Journal of medical Internet research·2026
查看所有相关文章

相关实验视频

Updated: Sep 8, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

680

使用两个大型语言模型提取临床指南信息:评估研究

Hsing-Yu Hsu1,2, Lu-Wen Chen3, Wan-Tseng Hsu1

  • 1Graduate Institute of Clinical Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan.

Journal of medical Internet research
|September 5, 2025
PubMed
概括
此摘要是机器生成的。

两种先进的大型语言模型 (LLM) 有效地更新了决策支持系统的药物基因组学 (PGx) 临床指南,大大降低了手动审查的需求和成本.

关键词:
临床决策支持系统准则分类药物基因组学大型语言模型可靠性可复制性

更多相关视频

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

565
A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

16.0K

相关实验视频

Last Updated: Sep 8, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

680
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

565
A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

16.0K

科学领域:

  • 药物基因组学 (PGx)
  • 人工智能 (AI)
  • 临床决策支持系统 (CDSS)

背景情况:

  • 有效的个性化药物基因组学 (PGx) 需要将临床指南整合到决策支持系统中.
  • 大型语言模型 (LLM) 提供了提取和更新PGx信息的自动化潜力.
  • 手动审查PGx指南需要大量的时间和资源.

研究的目的:

  • 通过使用两个先进的LLM来更新PGx临床指南,评估反复交叉比较和达成一致的策略的有效性.
  • 评估GPT-4o和Gemini-1.5-Pro在提取和分类PGx指南中的性能.
  • 确定LLM在简化将PGx指南整合到临床实践中的潜力.

主要方法:

  • 两个LLM (GPT-4o,Gemini-1.5-Pro) 分类了385个PGx临床指南,每个模型进行了20次测试.
  • 策略包括重复的交叉比较和一致性值 (预测<60%的一致性),以发现不一致性.
  • 将LLM输出与专家注释的数据进行比较以评估准确性.

主要成果:

  • 这两种LLM都实现了高的复制率 (GPT-4o:97.8%,Gemini-1.5-Pro:98.9%).
  • 与专家标签相比,LLM的准确性很高 (GPT-4o: 93.5%,Gemini-1.5-Pro: 92.7%).
  • 一致的预测减少了88.6%的手动审查需求,错误率最小 (0.3-0.5%) 和成本非常低 (US $ 0.76).

结论:

  • 使用两个LLM为更新临床决策支持的PGx指南提供了一种成本效益和可扩展的方法.
  • 通过LLM进行自动分类,大大降低了手动审查的负担,提高了临床适用性.
  • 选择性手动审查对于确保准确性至关重要,但这种LLM驱动的方法优化了PGx指南的整合.