人工智能在骨质疏松症中的应用:一篇综述
Shu-Ting Fan1, Min Lu2, Jin-Lu Dong1
1School of Information Science and Electrical Engineering (School of Artificial Intelligence), Shandong Jiaotong University, Jinan, China.
Frontiers in medicine
|December 29, 2025
概括
人工智能 (AI) 通过整合复杂的数据来提高骨质疏松症的管理,以进行精确的诊断和个性化治疗. 人工智能还加速了这种系统性骨疾病的新药发现.
科学领域:
- 生物医学工程 生物医学工程
- 计算生物学 计算生物学
- 精准医学是一门精准的医学.
背景情况:
- 骨质疏松症是一种复杂的骨疾病,其特点是骨质量低和微型结构恶化,导致骨折风险增加,残疾和死亡率.
- 目前,骨质疏松症的诊断和治疗面临着挑战,因为其复杂的病理生理学,慢性进展和经常无症状的性质.
研究的目的:
- 概述人工智能 (AI) 如何促进骨质疏松症管理.
- 突出AI在精确诊断,个性化治疗和骨质疏松症药物发现方面的作用.
主要方法:
- 人工智能技术整合了射电学和多电学数据.
- 开发人工智能驱动的模型,用于疾病进展映射,生物标志物识别和风险分层.
- 人工智能在药物标预测和治疗反应评估中的应用.
主要成果:
- 人工智能为精确的骨质疏松症诊断和个性化干预提供智能框架.
- 人工智能有助于优化预防性监测和个性化治疗决策.
- 由人工智能驱动的模型支持基于机制的骨质疏松症新药发现.
结论:
- 人工智能为推进精准和个性化医疗的骨质疏松症护理提供了强大的理论基础和实践途径.
- 人工智能在骨质疏松症管理中的整合有望通过增强的诊断和向治疗来改善患者的治疗结果.
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