医疗保健中的多模式整合:发展与疾病管理中的应用
Yan Hao1, Chao Cheng1, Juanjuan Li1
1Department of Otolaryngology, Shenzhen Longgang Otolaryngology Hospital & Shenzhen Otolaryngology Research Institute, 186 Huangge Road, Longcheng Subdistrict, Longgang District, Shenzhen, Guangdong, 518172, China, 86 (755)28989999.
Journal of medical Internet research
|August 21, 2025
概括
多模式数据整合将多种健康数据结合起来,以更好地诊断和治疗疾病. 这种方法通过提供个性化解决方案来彻底改变医疗保健,特别是在瘤和眼科领域.
科学领域:
- 医疗信息学
- 生物信息学
- 医学数据科学
背景情况:
- 医疗保健中的多模式数据整合结合了基因组学,成像和电子健康记录等多种数据来源.
- 这种方法提供了全面的患者视图,改善了疾病的诊断,治疗和管理.
- 目前在瘤学和眼科领域的应用很突出,在其他领域的应用也很快出现.
研究的目的:
- 提供医疗保健中的多式联通数据整合概述.
- 讨论当前的临床应用,挑战和未来的方向.
- 突出多模式整合在个性化医疗革命中的潜力.
主要方法:
- 对医疗保健中的多式联络数据集成现有文献进行系统审查和综合.
- 专注于瘤学和眼科的应用,并简要提到其他疾病.
- 分析挑战,包括数据标准化,模型部署和可解释性.
主要成果:
- 多模式整合使得瘤的精确表征和个性化治疗计划成为可能.
- 对抗人类表皮生长因子受体2治疗反应的准确预测 (AUC=0. 91).
- 通过结合遗传和成像数据,促进视网膜疾病的早期诊断.
结论:
- 多模式数据整合显著提高了疾病的诊断,治疗和管理.
- 需要解决数据标准化,部署和可解释性方面的挑战.
- 未来的趋势包括扩展疾病应用和大规模的多式模式,以提高准确性和个性化医疗保健.
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