人工智能在癌症诊断和瘤纳米医学中的应用
Junhao Wang1, Guan Liu1, Cheng Zhou1
1School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China. dxcui@sjtu.edu.cn.
Nanoscale
|July 18, 2024
概括
人工智能 (AI) 正在通过提高速度和准确性来彻底改变癌症诊断. 这项技术,包括深度学习,提高了瘤学的早期检测,治疗和患者的结果.
科学领域:
- 在瘤学瘤学.
- 医疗信息学 医疗信息学
- 纳米医学是一种纳米医学.
背景情况:
- 由于发病率和死亡率很高,癌症对全球健康构成了重大挑战.
- 人工智能 (AI) 和深度学习正在迅速推进医疗保健,特别是在早期癌症检测方面.
- 基于人工智能的工具有可能提高癌症诊断的速度,准确性和灵敏度.
研究的目的:
- 提供AI在医学和纳米医学中用于癌症诊断的应用的概述.
- 强调AI在癌症诊断中的重要性和挑战.
- 探索AI在纳米医学传感器和纳米瘤学药物中的作用.
主要方法:
- 对用于癌症诊断的结构化,非结构化和多式联接数据中的AI应用进行审查.
- 深度学习和卷积神经网络在人工智能驱动的癌症诊断中的解释.
- 传统诊断方法与基于人工智能的方法的比较分析.
主要成果:
- 人工智能显示出改变癌症诊断,治疗和管理的巨大潜力.
- 基于人工智能的方法显示,与传统方法相比,提高准确性和效率是有希望的.
- 确定了人工智能在癌症诊断中的当前挑战和未来方向.
结论:
- 人工智能对于推进癌症诊断至关重要,提供了增强的检测和改善患者预后.
- 人工智能在纳米医学传感器和纳米瘤学药物中的集成提供了新的治疗途径.
- 人工智能在瘤学中的持续发展和应用为癌症治疗提供了充满希望的未来.
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