Digital medicine has played a vital role in promoting the development of hepatobiliary and pancreatic surgery of China.The multidisciplinary integration of medical science and technology innovates research and development,and practice in clinical diagnosis and treatment.Digital medicine has enabled within 20 years,development from digital virtual human,three-dimensional visualization,molecular fluorescence imaging to artificial intelligence.There are four important stages of the development in China's digital medical technology:digital medicine 1.0 (2002 to 2004,digital virtual human) on digital human anatomy, digital medicine 2.0(2004 to 2014,three-dimensional(3D) visualization and 3D printing) on 3D diagnosis and treatment of complex hepatobiliary and pancreatic diseases, digital medicine 3.0(2014 to 2019,molecular fluorescence imaging) on precision navigation of tumor boundaries and micro tumors using indocyanine green molecular imaging, and digital medicine 4.0(2019 to present,digital artificial intelligence) on augmented reality-based and mixed reality-based 3D abdominal navigation hepatectomy and photoacoustic imaging of tumors.Over the past 20 years' course of development,Chinese researchers have made countless and remarkable achievements in digital medicine through continuous efforts and innovation. In the future,cutting-edge technologies such as artificial intelligence on deep machine learning,multi-mode image real-time fusion navigation surgery,photoacoustic imaging and targeted molecular probe technology will promote the development of digital medicine 4.0 in a coordinated manner,leading to the advent of digital medicine 5.0.
数字医学对我国肝胆胰外科的发展有重要的推动作用,医理工多领域学科交叉融合,创新诊疗研发与实践,使数字医学经历了从数字虚拟人、三维可视化、分子荧光影像到数字智能化20年发展的历程。基于不同阶段我国数字医学技术发展的特点,可分为4个重要阶段:数字医学1.0(2002—2004年,数字虚拟人),实现了数字化人体解剖;数字医学2.0(2004—2014年,三维可视化及三维打印),实现了数字虚拟人向数字医学转化和复杂性肝胆胰疾病三维诊治;数字医学3.0(2014—2019年,精准导航肿瘤边界和微小肿瘤的分子荧光影像),实现了肿瘤三维可视化形态学诊断向肿瘤吲哚菁绿分子影像诊断;数字医学4.0(2019年至今,数字智能化),实现了增强现实、混合现实三维腹腔镜导航肝切除术和肿瘤光声成像。在20年的历程里,我国学者通过不断地努力和创新,在数字医学领域取得了许多令人瞩目的成绩。未来,人工智能深度机器学习、多模态图像实时融合导航手术、光声成像、靶向分子探针等前沿技术将协同推动数字医学4.0的发展,引领数字医学5.0的到来。.