通过基础模型赋权肝癌诊断和治疗:技术创新和临床实践
Jitao Wang1,2, Siyan Xue3, Haoming Xia1,2
1Hepato-Pancreato-Biliary Center, Key Laboratory of Digital Intelligence Hepatology (Ministry of Education), School of Clinical Medicine, Tsinghua Medicine, Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing, China.
Clinical and experimental medicine
|January 29, 2026
概括
基金会模型 (FMs) 正在通过多式联络数据分析改进诊断和个性化治疗来彻底改变肝癌护理. 解决准确性,伦理和访问方面的挑战对于更广泛的临床采用至关重要.
科学领域:
- 人工智能在医学中的应用
- 在瘤学瘤学.
- 医疗信息学 医疗信息学
背景情况:
- 基础模型 (FMs) 正在成为医疗保健中的强大工具.
- 肝癌管理涉及复杂的决策和数据集成.
- 目前的方法在准确性和个性化方面存在局限性.
研究的目的:
- 审查基础模型在肝癌管理中的应用和影响.
- 突出FMS在诊断,治疗计划和临床效率方面的潜力.
- 确定阻碍在瘤学中临床采用FMs的挑战.
主要方法:
- 关于基础模型在医疗保健和肝癌中的当前文献的综述.
- 分析FM在整合多式联络数据 (临床,成像,基因组) 的能力.
- 检查特定应用程序,如风险分层和个性化治疗建议 (例如,IDEAL系统).
主要成果:
- FMs提高了诊断准确性和肝癌风险分层.
- 由FM驱动的智能系统支持个性化治疗决策,包括手术规划和免疫治疗.
- 通过综合数据分析,FMs提供了优化的临床效率.
结论:
- 基金会模型在肝癌护理方面具有显著的变革潜力.
- 关键的挑战包括确保模型的准确性,可靠性,数据隐私和公平访问.
- 跨学科的合作,特定领域的微调,伦理框架和监管准则对于成功的临床实施至关重要.
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