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

相关实验视频

Updated: May 13, 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

462

基于大型语言模型的手术安排.

Fang Wan1, Tao Wang1, Kezhi Wang2

  • 1INSA LYON, Université Lyon2, Université Claude Bernard Lyon1, Université Jean Monnet Saint-Etienne, DISP UR4570, France.

Artificial intelligence in medicine
|May 11, 2025
PubMed
概括
此摘要是机器生成的。

相关概念视频

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

Vaginal microbiota and genitourinary syndrome of menopause in premenopausal breast cancer patients receiving endocrine therapy: a longitudinal cohort study protocol.

Frontiers in medicine·2026
Same author

2s-DAS: Two-Stream Diffusion with Multi-Modal Fusion for Temporal Action Segmentation.

Journal of imaging·2026
Same author

Intravenous administration of an engineered AAV9-gene-silencing vector suppresses human SOD1 and extends survival in an ALS mouse model.

Nature communications·2026
Same author

Lamellar Regulation for Fast and Reversible Zinc-Ion Transport in Water-Rich Hydrogels for Aqueous Zinc-Ion Batteries.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same author

Electroacupuncture Ameliorates Learning and Memory Deficits in Vascular Cognitive Impairment Rats Through Activation of the Supramammillary Nucleus-Dentate Gyrus Circuit.

CNS neuroscience & therapeutics·2026
Same author

Impaired kidney function in People with HIV compared to People without HIV.

AIDS (London, England)·2026
Same journal

Real-time EEG-based epileptic seizure prediction using artificial intelligence: A systematic review.

Artificial intelligence in medicine·2026
Same journal

R-peak detection and ECG data compression scheme based on empirical mode decomposition and wavelet transform.

Artificial intelligence in medicine·2026
Same journal

CastNet: A three-channel EEG-based deep learning model for cross-subject depression detection.

Artificial intelligence in medicine·2026
Same journal

State-of-the-art TinyML approaches for colorectal cancer detection: Current advances, challenges, and future directions.

Artificial intelligence in medicine·2026
Same journal

JRadiEvo: A Japanese radiology report generation model enhanced by evolutionary optimization of model merging.

Artificial intelligence in medicine·2026
Same journal

Causally-informed deep learning towards explainable and generalizable outcome prediction in critical care.

Artificial intelligence in medicine·2026
查看所有相关文章

大型语言模型 (LLM) 通过作为进化优化器来增强手术安排. LLM-NSGA显著改善解决方案和优化参数,优于传统方法.

科学领域:

  • 人工智能的人工智能
  • 运营研究 运营研究
  • 计算优化计算优化

背景情况:

  • 传统的多目标优化算法 (例如,NSGA-II) 通常需要领域专业知识来设计操作员.
  • 大型语言模型 (LLM) 显示了各种领域的潜力,包括复杂的问题解决.

研究的目的:

  • 探索LLM在解决多目标组合优化问题的应用,特别是手术安排.
  • 引入LLM-NSGA,这是一个新的方法,LLMs作为进化优化器.

主要方法:

  • 在一个进化框架 (LLM-NSGA) 中,LLM被用来执行选择,交叉和突变操作.
  • 与传统算法 (NSGA-II,MOEA/D) 和另一种基于LLM的方法 (EoH) 进行了LLM-NSGA的比较.
  • 此外,LLM也被用于超参数优化,与贝叶斯优化和殖民地优化 (ACO) 相比.

主要成果:

  • 在40个案例中,LLM-NSGA独立于提示生成了高质量的解决方案.
  • 随着问题规模的增加,LLM-NSGA表现优于NSGA-II和MOEA/D,三个目标的平均改善率为5.39%,80%和0.42%.
  • 当LLM与NSGA-II.II进行验证时,LLM将超参数优化运行时间减少了23.68%,并产生了改善手术调度解决方案的参数.
关键词:
组合优化的优化.超参数优化超参数优化大型语言模型.多个目标的多重目标.外科手术安排时间表

更多相关视频

Mixed Reality Assisted Radical Endoscopic Thyroidectomy
08:06

Mixed Reality Assisted Radical Endoscopic Thyroidectomy

Published on: January 31, 2025

165
A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery
09:41

A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery

Published on: May 20, 2016

12.0K

相关实验视频

Last Updated: May 13, 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

462
Mixed Reality Assisted Radical Endoscopic Thyroidectomy
08:06

Mixed Reality Assisted Radical Endoscopic Thyroidectomy

Published on: January 31, 2025

165
A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery
09:41

A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery

Published on: May 20, 2016

12.0K

结论:

  • 在复杂的问题上,LLM可以有效地作为进化优化器,例如手术安排.
  • LLM-NSGA为传统方法提供了一个有前途的替代方案,可以实现更好的结果并改善资源配置.
  • 简单的LLM有效地优化算法参数,提高现有优化技术的性能.