医学中的人工智能产生的内容 (AIGC):叙事性审查
Liangjing Shao1,2, Benshuang Chen1,2, Ziqun Zhang3
1Academy for Engineering & Technology, Fudan University, Shanghai 200433, China.
Mathematical biosciences and engineering : MBE
|February 2, 2024
概括
人工智能产生的内容 (AIGC) 提供快速,高质量的医疗解决方案. 本综述探讨了AIGC在医学成像和文本生成中的应用,以解决资源短缺问题.
科学领域:
- 医疗信息学 医疗信息学
- 人工智能的人工智能
背景情况:
- 人工智能产生的内容 (AIGC) 正在迅速扩大.
- AIGC利用生成性AI模型从人类指令创建内容.
- 医疗领域面临着资源短缺和复杂的程序.
研究的目的:
- 为了提供AIGC在医学中的全面审查.
- 探索AIGC在医疗图像处理和文本生成中的应用.
- 讨论AIGC在医疗保健中的局限性,挑战和潜在解决方案.
主要方法:
- 对医学中AIGC的最新研究的审查.
- 对生成性AI模型,任务,数据集和贡献的分析.
- 将应用程序分类为医疗图像处理和文本生成.
主要成果:
- 在医学图像处理和文本生成方面,AIGC显示出潜力.
- 总结了研究的关键方面,包括模型,任务和数据集.
- 确定了AIGC实施中的当前局限性和挑战.
结论:
- AIGC可以帮助缓解医疗资源和程序方面的挑战.
- 需要进一步的研究来克服局限性并优化医学中的AIGC.
- 本次审查旨在促进医学AIGC的理解和创新.
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