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相关概念视频

Positron Emission Tomography01:29

Positron Emission Tomography

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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.
One of the main requirements of a PET scan is a positron-emitting radioisotope, which is produced in a cyclotron and then attached to a substance used by the part of the body...
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Imaging Studies II: Positron Emission Tomography and Scintigraphy01:25

Imaging Studies II: Positron Emission Tomography and Scintigraphy

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Positron Emission Tomography (PET) is a medical imaging technique that provides crucial insights into the body's physiological functions at a molecular level. It is an indispensable resource for diagnosing, staging, and monitoring various illnesses, notably cancer, neurological disorders, and cardiovascular conditions.
Fundamental Principles of PET
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Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

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Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
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Isotopes and Radioisotopes01:28

Isotopes and Radioisotopes

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In the early 1900s, English chemist Frederick Soddy realized that an element could have atoms with different masses that were chemically indistinguishable. These different types are called isotopes — atoms of the same element that differ in mass. Isotopes differ in mass because they have different numbers of neutrons but are chemically identical because they have the same number of protons. Soddy was awarded the Nobel Prize in Chemistry in 1921 for this discovery.
An isotope containing...
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Nuclear Transmutation03:20

Nuclear Transmutation

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Nuclear transmutation is the conversion of one nuclide into another. It can occur by the radioactive decay of a nucleus, or the reaction of a nucleus with another particle. The first manmade nucleus was produced in Ernest Rutherford’s laboratory in 1919 by a transmutation reaction, the bombardment of one type of nuclei with other nuclei or with neutrons. Rutherford bombarded nitrogen-14 atoms with high-speed α particles from a natural radioactive isotope of radium and observed...
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Radiological Investigation III: Pulmonary Angiogram and PET Scan01:13

Radiological Investigation III: Pulmonary Angiogram and PET Scan

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Radiological investigations are paramount in the diagnosis and management of various pulmonary diseases. Two essential investigations are the Pulmonary Angiogram and the Positron Emission Tomography (PET) Scan.
Pulmonary Angiogram
A Pulmonary Angiogram is an invasive procedure involving injecting a contrast medium through a catheter threaded into the pulmonary artery or the right side of the heart to visualize the pulmonary vasculature. Computed Tomography (CT) scans have mainly replaced this...
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Updated: Jan 10, 2026

Radiosynthesis, Quality Control, and Small Animal Positron Emission Tomography Imaging of 68Ga-Labelled Nano Molecules
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核医学中的解释性AI

Sune Holm1, Daria Ferrara2, Miriam Pepponi3

  • 1Department of Food and Resource Economics, University of Copenhagen, Copenhagen, Denmark. suneh@ifro.ku.dk.

European journal of nuclear medicine and molecular imaging
|November 25, 2025
PubMed
概括

可解释的人工智能 (AI) 对于临床医生无法独立验证的任务至关重要. 对于AI预测癌症缓解症,当输出不确定或发生错误时需要解释,以确保可靠的临床工具.

关键词:
卡切西亚 卡切西亚临床决策的过程可解释的人工智能肺癌是一种肺癌.医学成像医学成像值得信赖的AI 值得信赖的AI

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科学领域:

  • 人工智能在医学中的应用
  • 临床决策支持系统 临床决策支持系统

背景情况:

  • 卡切西亚显著影响癌症患者的治疗结果.
  • 预测性模型的缓解症越来越复杂.
  • 人工智能决策的透明度需要越来越多.

研究的目的:

  • 探索可解释AI (XAI) 的必要性,在一个专注于预测癌症缓解症的多学科项目中.
  • 定义AI可解释性在临床环境中何时至关重要的标准.

主要方法:

  • 多学科项目会议涉及医学,数据科学,社会学和哲学.
  • 在不同的临床环境中讨论和分析AI可解释性要求.

主要成果:

  • 用户可以执行/验证的人工智能任务与他们无法执行/验证的人工智能任务之间的区别.
  • 确定了人工智能解释性不可或缺的场景.

结论:

  • 人工智能解释对于超出用户验证能力的任务至关重要.
  • 文档可靠性可能足以提供可验证的输出,但可解释性可以增强信任,特别是不确定性或错误.
  • 临床医生,人工智能开发人员和利益相关者之间的密切合作是可靠人工智能在实践中的关键.