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DOI: 10.3791/65423-v
Jingwen Xue1, Fangliang Xing2, Yang Liu3, Tengxiao Liang4
1Beijing University of Chinese Medicine, 2Beijing Intelligent Entropy Science & Technology Co Ltd., 3Center for Integrated Chinese and Western Medicine, Beijing You An Hospital,Capital Medical University, 4Fever Outpatient Clinic,Dongzhimen Hospital of Beijing University of Chinese Medicine
Please note that some of the translations on this page are AI generated. Click here for the English version.
本研究的目的是开发一种新的肺结节3D数字模型,作为医生和患者之间的沟通桥梁,也是诊断前和预后评估的尖端工具。
本研究旨在创建一个连续的三维重建模型,以更好地表征肺结节,以进行临床诊断和预后评估。人工智能驱动的成像技术与肺结节疾病诊断和治疗的深度融合是该研究领域的最新发展。医学影像学、自然语言处理、数字化、现场设计类别、临床诊疗场景风险的结合,是该领域的最新进展。
逐步建立三维影像学,区分肺结节特征,对中药疗效进行长期跟踪,有助于优化疾病防治方案。使用此数字模型生成的图像准确直观,避免了误报和假阴性,并且对扫描设备不敏感。本研究结果有助于基于三维特殊特征的肺结节临床循证分类、预后、评估和治疗方案优化。
我们的研究重点包括结合数字化、人工智能、影像学以及中医药临床治疗方案的评估和优化,以制定具有成本效益和更好的治疗方案。
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