人工智能在肺癌临床翻译中的进展和挑战
Erjia Zhu1,2, Amgad Muneer2, Jianjun Zhang1
1Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
NPJ precision oncology
|July 2, 2025
概括
人工智能 (AI) 显著提升了肺癌的治疗,帮助戒烟,查和治疗. 解决人工智能偏见对于未来瘤学临床应用至关重要.
科学领域:
- 在瘤学瘤学.
- 医疗信息学 医疗信息学
- 人工智能在医学中的应用
背景情况:
- 人工智能 (AI) 算法正在彻底改变癌症护理.
- 肺癌管理为人工智能集成提供了独特的机会.
研究的目的:
- 审查人工智能在肺癌管理中的变革性影响.
- 讨论AI在临床实践中的障碍和未来方向.
主要方法:
- 审查当前的AI应用在肺癌.
- 分析人工智能算法,如卷积神经网络和变压器.
- 讨论包括模型偏见和公平性在内的挑战.
主要成果:
- 人工智能在戒烟,个性化查和肺癌成像基因组学方面显示出潜力.
- 人工智能可以通过数据集成优化治疗选择.
- 人工智能实施的关键障碍包括偏见和公平性问题.
结论:
- 人工智能有望显著改变肺癌管理.
- 克服像偏见这样的挑战对于成功的临床整合至关重要.
- 未来的研究应该专注于在瘤学中道德和实际的AI部署.
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