肝胆外科从数字虚拟人、三维可视化到数字智能化发展的现状
From digital virtual human, three-dimensional visualization to digital intelligence in liver surgery
摘要数字智能化肝胆外科的发展经历了十几年的演进过程,从数字虚拟人技术到质控化、同质化三维可视化精准诊疗体系的建立;从三维可视化到数字智能化技术临床转化及诊疗模式的转换;实现了疾病的经验性诊断到深度学习智能化诊断与治疗和经验性手术到多模态影像实时手术导航的技术创新;从肿瘤的形态学诊断深入到分子影像学精准诊断的研究。在这个过程中只有不断地进行研究创新、理论创新和技术创新才能给数字智能化外科赋予新的生命力。未来,从关键分子功能可视化实现肝癌分子、细胞层面边界界定和早诊早治,对改变肝癌患者肝切除术后的预后具有重大的临床价值。此外,为了实现智能化肝切除手术导航,突破技术瓶颈,研发具有自动导航技术、机器学习智能规划技术和多模态影像融合技术的智能化机器人实时导航肝切除手术系统具有重要的临床意义,给数字智能化肝胆外科的发展带来了新的机遇和挑战。
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abstractsDigital intelligent hepatobiliary surgery has evolved over decades.It has experienced an evolution course from digital virtual human technology to the establishment of a quality-controlled and homogeneous three-dimensional visualization system for precision diagnosis and treatment of diseases, from three-dimensional visualization to the clinical transformation of digital intelligent technology and changes in the diagnosis and treatment model, from empirical diagnosis of diseases to the application of deep learning for the intelligent diagnosis and treatment of diseases, from empirical surgery to real-time multi-modal image guidance during surgery, and from the morphological diagnosis of tumors to accurate diagnosis from molecular imaging.During the whole process, only through continuous innovation in research, theory and technology can the "life" of digital intelligent surgery be endowed with new vitality.In the future, the definition of tumor boundary from the molecular and cellular levels and the early diagnosis and treatment of liver tumor through the functional visualization of key molecules will have significant clinical value for changing the prognosis of liver cancer.In addition, in order to realize intelligent navigation for hepatectomy and break through the technical bottleneck, it is of great clinical significance to develop an intelligent robot real-time navigation hepatectomy system with automatic navigation technology, machine learning intelligent planning technology and multimodal image fusion technology.This provides unprecedented opportunities and challenges for the development of digital intelligent hepatobiliary surgery.
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