核科人工智能生态系统
Geoffrey M Currie1, Eric M Rohren2
1School of Dentistry and Medical Sciences, Charles Sturt University, NSW, Australia.
Seminars in nuclear medicine
|December 5, 2025
概括
人工智能 (AI) 正在改变核 nefrology,从基本计算到先进的成像和theranostics. 新兴的人工智能,包括生成模型,提供了新的可能性,但需要进一步验证和伦理考虑临床使用.
科学领域:
- 核医学和科.核医学和科.
- 人工智能和机器学习.
背景情况:
- 核瘤学包括多种不同的技术,从膜过率计算到先进的成像,如SPECT和PET.
- 人工智能 (AI) 与核瘤学一起发展,从专家系统发展到深度学习和生成AI.
研究的目的:
- 探索人工智能在核 nefrology 的历史和新兴应用.
- 突出AI在临床工作流程,研究,开发和成像方面的潜力.
主要方法:
- 核腎病學中人工智能演變的回顧,包括機器學習,深度學習和生成人工智能.
- 在核 nefrology 生态系统中探索 AI 工具,算法和框架.
- 在检测,分类,细分,预测,数据分析和图像增强方面分析AI应用.
主要成果:
- 人工智能已经经历了多个阶段,包括前神经网络,CNN和DL,目前在生成性AI (LLM,扩散模型,GAN,VLM) 中有机会.
- 人工智能工具的范围从定制算法到商业产品和一般框架,影响临床工作流程,研发和成像.
- 新兴的人工智能,特别是生成和多式模式,在核瘤学中提供了多式模式,少量射击学习的潜力.
结论:
- 人工智能通过增强的检测,预测和图像分析,为推进核瘤学提供了重大机会.
- 进一步开发和验证对于人工智能在现场的广泛临床实用性至关重要.
- 伦理考虑和社会正义必须与核瘤学的AI进步一起解决.
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