基于人工智能和医疗大数据的肿瘤荧光手术导航与量化评估策略

Navigation and quantitative evaluation strategies for tumor fluorescent surgery based on arti⁃ficial intelligence and medical big data

  • 摘要: 分子成像历经20余年发展,大量新型技术被提出,但仅有小部分成功实现临床转化,进入临床实践应用并取得显著效果。基于荧光分子成像的术中导航和基于医学影像大数据的定量分析技术,正在开展越来越多的临床试验并逐步赢得广泛认可。这两项技术通过与人工智能的深入融合,在消化系统肿瘤的术前诊断、术中导航和术后预测中取得系列研究成果,为消化系统疾病患者的个体化诊断与治疗提供了医学影像领域的新技术支持。

     

    Abstract: The development of molecular imaging has been going on for more than 20 years. During this period, a large number of new imaging technologies for molecular imaging have been proposed, but only a small number of them have successfully achieved clinical transformation, entered the actual clinical application and achieved significant clinical results. Among them, intraoperative navigation based on fluorescence molecular imaging and quantitative analysis technology based on medical imaging big data are being carried out in more and more clinical trials and have gradually won wide recognition. Through the in‑depth integration of these two technologies with artificial intelligence, a series of research results have been achieved in multiple clinical diagnosis and treat-ment processes such as preoperative diagnosis, intraoperative navigation and postoperative prediction of digestive system tumors, providing new technical support in the field of medical imaging for the individualized diagnosis and treatment of patients with digestive system diseases.

     

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