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Updated: Jul 24, 2025

A Precision Medicine Tool for Measurement and Monitoring of Hemoglobin S in Sickle Cell Disease Patients Receiving Transfusion Therapy

A Precision Medicine Tool for Measurement and Monitoring of Hemoglobin S in Sickle Cell Disease Patients Receiving Transfusion Therapy

大数据在输血医学和人工智能分析中用于红细胞质量控制

Marcelle G M Lopes^1,2, Steffen M Recktenwald¹, Greta Simionato^1,3

¹Experimental Physics, Saarland University, Saarbrücken, Germany.

Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie

|July 6, 2023

概括

人工智能和大数据为改善输血医学中红细胞质量控制提供了新的途径. 需要进一步的临床验证才能将这些先进的方法实施到常规实践中.

科学领域:

输血医学输血医学
医疗信息学医疗信息学

背景情况:

人工智能 (AI) 和大数据越来越多地融入各种领域,包括输血医学.
尽管取得了进展,但对于红细胞 (RBC) 质量测量仍然缺乏普遍接受的标准.

研究的目的:

突出大数据在输血医学中的实用性.
展示AI在RBC单位质量控制中的应用.

主要方法:

对大数据在输血医学中的应用进行审查和概念化.
探索用于RBC质量评估的AI算法.

主要成果:

大数据分析可以为输血过程提供宝贵的见解.
人工智能为客观和高效的RBC质量控制提供了一个有希望的方法.

结论:

人工智能和大数据为加强RBC质量管理提供了巨大的潜力.
在输血服务中广泛采用这些技术之前,临床验证至关重要.

关键词:

爱丽丝的感觉是什么意思个性化输血个性化输血红细胞质量红细胞质量储存损伤的损伤储存损伤

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