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相关概念视频

Molecular Models02:00

Molecular Models

Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
The Scope of Physics01:17

The Scope of Physics

Physics is concerned with the interactions of energy, matter, space, and time, in order to discover the underlying mechanisms that underpin all phenomena. The word "physics" comes from the Greek word "phúsis", which means nature. Physics seeks to comprehend the natural world around us at its most fundamental level. It emphasizes the use of quantitative laws to do this, which could be valuable in other fields that want to push the performance boundaries of present technologies.
Physics knowledge...
Positron Emission Tomography01:29

Positron Emission Tomography

Positron emission tomography (PET) is a medical imaging technique involving radiopharmaceuticals — substances that emit short-lived radiation. Although the first PET scanner was introduced in 1961, it took 15 more years before radiopharmaceuticals were combined with the technique and revolutionized its potential.
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Radiation Pressure: Problem Solving

The radiation pressure applied by an electromagnetic wave on a perfectly absorbing surface equals the energy density of the wave. The wave's momentum also gets transferred to the surface when an electromagnetic wave is entirely absorbed by it. The rate at which momentum is transmitted to an absorbing surface perpendicular to the propagation direction equals the force on the surface.
The average value of the rate of momentum transfer divided by the absorbing area represents the average force per...
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Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.

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相关实验视频

Updated: Jul 3, 2026

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.3K

在放射学报告中使用大型语言模型:一个范围审查

Ryan C Lee1, Roham Hadidchi2, Michael C Coard2

  • 1Department of Radiology, Montefiore Medical Center and Albert Einstein College of Medicine, Bronx, New York; Renaissance School of Medicine, Stony Brook University, Stony Brook, New York.

Journal of the American College of Radiology : JACR
|November 6, 2025
PubMed
概括

大型语言模型 (LLM) 在放射学中显示出对报告简化和翻译等任务的希望. 然而,他们的表现在分类上有所不同,管理LLM的变化对于可靠的临床整合至关重要.

关键词:
大型语言模型.人工智能的人工智能是人工智能.放射学报告 放射学报告

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Last Updated: Jul 3, 2026

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科学领域:

  • 人工智能在医学中的应用
  • 放射学 信息学 信息学
  • 自然语言处理自然语言处理.

背景情况:

  • 大型语言模型 (LLM) 是放射学领域具有重大潜力的新兴工具.
  • 应用包括提高临床工作流程,诊断准确性和患者沟通.

研究的目的:

  • 进行对LLM在放射学中的当前和新兴用途的范围审查.
  • 评估LLM在放射学应用中的能力,局限性和方法考虑.

主要方法:

  • 在PubMed和Embase上进行了全面的文献搜索.
  • 审查中包括了69篇相关文章,以综合发现.

主要成果:

  • 在报告简化和翻译方面,LLM卓越,但在分类任务中表现出不同的结果.
  • 微调和结构化提示提高了LLM的准确性;管理随机性仍然是一个挑战.
  • 大多数研究记录了数据集独立性和提示方法,但较少的研究解决了LLM变异性.

结论:

  • 在放射治疗方面,LLM具有变革性的潜力,特别是在工作流程优化方面.
  • 需要进一步的研究来解决验证,概括性和负责任的实施问题.
  • 本审查指导利益相关者在放射学中有效和道德地利用LLM.