人工智能应用于骨髓增殖性瘤:一个叙述性回顾
Andrew Srisuwananukorn1, Jordan E Krull2,3, Qin Ma2,3
1Division of Hematology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
Expert review of hematology
|August 8, 2024
概括
人工智能 (AI) 通过分析复杂的数据来改善骨髓增殖性瘤 (MPNs) 护理,以更好地诊断和治疗. 进一步的研究和监管准则对于人工智能成为MPN管理中的有价值的临床决策支持工具至关重要.
科学领域:
- 计算研究是计算研究.
- 发现生物标志物的发现.
- 血液学 血液学 血液学
背景情况:
- 人工智能 (AI) 提供了提取细微生物标记物的潜力.
- 人工智能应用正在研究用于预测骨髓增殖性瘤 (MPNs) 的临床结果.
研究的目的:
- 审查旨在提高MPN临床护理的AI调查.
- 探索AI利用临床和实验室数据用于MPN管理.
主要方法:
- 在MPNs人工智能研究的叙事审查.
- 在PubMed和美国血液学会会议 (2000-2023) 的文献搜索.
主要成果:
- 人工智能方法已开发,以提高MPN诊断准确性,风险预测和治疗选择.
- 研究人员正在使用人工智能来识别MPN的新型治疗剂.
结论:
- 预计MPN护理中的AI将不断增长,提供越来越多的临床实用性.
- 人工智能模型可以作为临床决策支持工具,并具有适当的开发和监管监督.
- 目前在MPN中的AI研究为未来临床决策改进提供了基础.
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