放射学中的人工智能:在癌症诊断中提高精度,准确性和早期检测
Pragati Gurjar1, Saad Khan Mayana2, Sravan Krishna Reddy Annadevula2
1Department of Health, Indian Institute of Health Management Research (IIHMR) University, Jaipur, Jaipur, IND.
Cureus
|January 27, 2026
概括
人工智能 (AI) 正在为早期癌症检测和个性化护理彻底改变瘤放射学. 本综述综合了建立人工智能的研究.
科学领域:
- 瘤放射学和人工智能 (AI) 的研究
背景情况:
- 关于瘤放射学AI的文献是分散的,重点是疾病特定的研究.
- 需要进行全面的综合分析,以了解AI在癌症治疗中的更广泛影响和整合.
研究的目的:
- 从2019-2025年进行瘤放射学AI研究的叙事主题综合.
- 将证据组织成跨界框架,并重新定义放射学在癌症治疗中的作用.
- 确定AI在临床实践中采用的关键挑战和机会.
主要方法:
- 对相关研究 (2019-2025) 进行主要生物医学和工程数据库的系统搜索.
- 主题综合,重点关注临床相关性,转化价值和政策意义.
- 分析围绕精确成像,多式联运数据集成和预后/监测中的人工智能框架进行.
主要成果:
- 人工智能推进了精确成像,早期检测和多式联络数据集成,用于癌症特征.
- 人工智能应用涵盖了预后和治疗监测,超越了孤立的绩效指标.
- 主要挑战包括模型可解释性,联合学习,公平性和劳动力适应性.
结论:
- 人工智能在放射学中的重要性在于其在临床决策支持系统 (CDSS) 中的透明度,包容性和适应性.
- 建立全球合作,验证和道德框架对于公平的AI实施至关重要.
- 人工智能必须发展成为一个包容性的生态系统,以在全球范围内改善癌症护理.
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