人工智能在癌症成像中的演变和新型应用
Mustaqueem Pallumeera1, Jonathan C Giang2, Ramanpreet Singh2
1The Ohio State University College of Medicine, Columbus, OH 43210, USA.
Cancers
|May 14, 2025
概括
人工智能 (AI) 增强了癌症成像,以更好地查,诊断和治疗. 人工智能应用程序改善瘤检测,特征和个性化医疗,优化患者的治疗结果,同时解决整合挑战.
科学领域:
- 在瘤学瘤学.
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 正在改变癌症成像.
- 人工智能,特别是深度学习和机器学习,有助于风险评估,瘤检测,分类和治疗预后.
- 放射学量化成像特征以进行个性化治疗反应预测.
研究的目的:
- 在瘤成像中提供AI应用的概述.
- 讨论人工智能整合到医疗保健中的局限性和挑战.
- 突出人工智能在推进精准医学和患者治疗成果方面的作用.
主要方法:
- 审查癌症成像中的AI应用,包括深度学习和机器学习.
- 分析AI在病变特征,细分和放射性特征提取方面的作用.
- 讨论AI对像图像优化和报告等非诊断任务的影响.
主要成果:
- 人工智能显著提高了瘤学中的查,诊断和治疗计划.
- 人工智能驱动的放射学能够实现个性化的治疗反应预测.
- 人工智能还可以提高图像质量,并自动化医疗报告.
结论:
- 在癌症成像中整合人工智能为精准医学和患者的结果提供了巨大的好处.
- 数据管理,患者隐私和监管过程中的挑战需要解决.
- 多学科合作对于AI在临床瘤学的成功实施和验证至关重要.
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