关于血液的人工智能在白血病管理中的字节:2025年更新
Austin P Runde1, Stephanie M Koo1, Parnaz Daneshpajouhnejad2
1MD Program, Stritch School of Medicine, Loyola University Chicago, Maywood, IL.
American journal of clinical oncology
|March 4, 2026
概括
人工智能 (AI) 在白血病管理方面表现有前途,特别是在诊断方面. 需要进一步的研究来探索AI.
科学领域:
- 血液学 血液学 血液学
- 医疗信息学 医疗信息学
- 在瘤学瘤学.
背景情况:
- 人工智能 (AI) 越来越多地被用于白血病管理中的临床应用.
- 现有的文献强调了人工智能的潜力,以协助医疗保健专业人员在白血病护理的各个方面提供帮助.
研究的目的:
- 审查和总结有关AI在白血病管理中的临床实用性的当前文献.
- 确定人工智能可以影响白血病检测,治疗和复发监测的关键领域.
主要方法:
- 从2022年1月到2025年11月,对PubMed进行系统的文献搜索.
- 包括55篇关于人工智能和白血病的相关论文.
主要成果:
- 人工智能在白血病检测,风险分层和治疗计划方面展示了临床实用性.
- 人工智能应用目前尚未得到充分利用,主要关注初始诊断.
- 人工智能在风险分层,治疗计划和复发监测方面的潜力在很大程度上仍未被探索.
结论:
- 人工智能具有显著的潜力,可以增强白血病管理的各个方面.
- 目前在白血病护理中的AI实施是有限的,主要集中在诊断上.
- 通过人工智能优化治疗强度可以减少毒性和降低复发率.
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