在计算机断层扫描中早期检测癌的人工智能:一篇评论
William C McGough1,2, Lorena E Sanchez3,4, Cathal McCague1,3,4
1Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK.
Cambridge prisms. Precision medicine
|March 29, 2024
概括
人工智能 (AI) 可以自动化计算机断层扫描 (CT) 分析,用于早期发现癌,从而降低成本并提高生存率. 本综述探讨了人工智能应用,以促进在这一关键领域的跨学科研究.
科学领域:
- 在瘤学瘤学.
- 放射学 放射学是一门学科.
- 人工智能的人工智能
背景情况:
- 癌每年造成超过10万例死亡,通常通过腹部计算机断层扫描 (CT) 检测到晚期.
- 扫描图像扫描提高了早期检测和生存率,但面临着很高的财务障碍.
- 人工智能 (AI) 的进步通过自动化放射学任务分析提供了潜在的成本降低.
研究的目的:
- 审查人工智能,放射学和瘤学的当前知识,以早期检测癌.
- 确定适用于早期癌检测局限性的有前途的AI方法.
- 建议未来的研究方向,用于人工智能支持的CT查脏癌症.
主要方法:
- 总结现有的自动化癌诊断方法.
- 审查更广泛的AI癌症分析方法.
- 将人工智能技术与早期癌检测的挑战相匹配.
主要成果:
- 该评论综合了AI在癌症分析中的当前状态.
- 它强调了人工智能在癌检测中自动化放射学任务的潜力.
- 提出了基于人工智能的早期癌检测有前途的研究方向.
结论:
- 人工智能具有显著的潜力,可以降低用于癌查的CT分析成本.
- 自动化放射学任务可以实现广泛的CT查,改善早期检测和患者存活率.
- 进一步的跨学科研究至关重要,以实现人工智能在抗击癌方面的全部潜力.
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