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相关概念视频

Computed Tomography01:10

Computed Tomography

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Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
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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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相关实验视频

Updated: Jun 11, 2025

Author Spotlight: Insights into Visual Cortex Research Through Wide-View fMRI Mapping
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GPT-4愿景:聊天GPT的多模式演变以及在放射学中的潜在作用

Ramin Javan1, Theodore Kim1, Navid Mostaghni2

  • 1Department of Radiology, George Washington University School of Medicine and Health Sciences, Washington, USA.

Cureus
|October 1, 2024
PubMed
概括

大型多式联络模型GPT-4 Vision (GPT-4V) 显示了通过分析图像和帮助决策支持来增强放射学工作流程的潜力. 然而,目前的局限性需要在临床整合之前进一步开发.

关键词:
聊天 聊天 聊天在gpt-4中使用.gpt-4视觉视觉是什么大型语言模型 (llms)大型多式联运模式模型艾姆姆 艾姆 艾姆 艾姆 艾姆 艾姆 艾姆 艾姆多式联运AI是多式联运AI.

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Multimodal Optical Imaging Platform for Studying Cellular Metabolism
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科学领域:

  • 人工智能的人工智能
  • 多式联络AI 多式联络AI
  • 放射学 放射学是一门学科.

背景情况:

  • 大型语言模型 (LLM) 正在演变为大型多式模式模型 (LMM),如GPT-4视觉 (GPT-4V).
  • 人工智能的进步有可能改善放射学工作流程和临床决策支持.

研究的目的:

  • 探索GPT-4V在放射学中的潜在应用.
  • 评估GPT-4V在各种与放射学相关的任务中的性能.

主要方法:

  • 通过使用各种图像来源评估了GPT-4V的功能,包括网络图像,教学文件和草图.
  • 任务包括科学图形分析,放射性图像报告,图像比较,手写解释,草图到代码和艺术表达.

主要成果:

  • GPT-4V在图像分类,实体计数,图像比较和解读手写/草图方面表现出熟练.
  • 在骨折检测,病变大小辨别,复杂图解解释和一致的放射性发现表征方面观察到局限性.

结论:

  • GPT-4V对放射学有很大的希望,但在临床使用之前需要进一步培训以解决可靠性差距.
  • 未来的代可以支持放射学任务,但人类的专业知识仍然对安全和道德实践至关重要.