人工智能用于癌症的诊断和管理:潜力和挑战
Man Wang1, Wenguang Chang1, Yuan Zhang1
1Institute For Translational Medicine The Affiliated Hospital of Qingdao University College of Medicine Qingdao University Qingdao China.
MedComm
|November 7, 2025
概括
人工智能 (AI) 在癌症护理方面提供了变革性的潜力,改善了诊断和治疗. 进一步的研究和理解对于将人工智能纳入临床瘤实践至关重要.
科学领域:
- 在瘤学瘤学.
- 人工智能的人工智能
- 医疗信息学 医疗信息学
背景情况:
- 癌症仍然是全球主要的死亡原因,尽管临床进展,患者的治疗结果仍然存在挑战.
- 人工智能 (AI) 提出了癌症管理的范式转变,解决了研究和临床实践的局限性.
- 人工智能利用多层数据的能力提高了癌症诊断和治疗的准确性和效率.
研究的目的:
- 提供全面的AI技术概述,包括与瘤学相关的机器学习和深度学习.
- 总结最近关于人工智能在癌症诊断,分类和个性化治疗计划中的应用的研究.
- 讨论人工智能在癌症护理中的临床转化所面临的挑战和未来方向.
主要方法:
- 在瘤学中对人工智能的临床前和临床证据的系统审查.
- 分析基本的人工智能原则 (机器学习,深度学习).
- 人工智能在癌症诊断,分类和治疗规划中的作用.
主要成果:
- 人工智能模型显示出提高癌症诊断和治疗的准确性和效率的巨大潜力.
- 证据凸显了AI在癌症管理的各个方面发挥的变革作用.
- 尽管前景充满希望,但AI在瘤学的临床应用目前有限.
结论:
- 人工智能技术具有巨大的潜力,可以彻底改变癌症管理并改善患者的治疗结果.
- 了解AI原则和应用对于其成功的临床转化至关重要.
- 解决当前的挑战和概述未来的研究方向将促进人工智能驱动的瘤学.
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