Bari Hassaan, Wadhwani Sharan, Dasari Bobby V M
Department of HPB and Liver Transplantation Surgery, Queen Elizabeth Hospital, Birmingham B15 2TH, United Kingdom.
Department of Radiology, Queen Elizabeth Hospital, Birmingham B15 2TH, United Kingdom.
World J Gastrointest Surg. 2021 Jan 27;13(1):7-18. doi: 10.4240/wjgs.v13.i1.7.
Over the past decade, enhanced preoperative imaging and visualization, improved delineation of the complex anatomical structures of the liver and pancreas, and intra-operative technological advances have helped deliver the liver and pancreatic surgery with increased safety and better postoperative outcomes. Artificial intelligence (AI) has a major role to play in 3D visualization, virtual simulation, augmented reality that helps in the training of surgeons and the future delivery of conventional, laparoscopic, and robotic hepatobiliary and pancreatic (HPB) surgery; artificial neural networks and machine learning has the potential to revolutionize individualized patient care during the preoperative imaging, and postoperative surveillance. In this paper, we reviewed the existing evidence and outlined the potential for applying AI in the perioperative care of patients undergoing HPB surgery.
在过去十年中,术前成像和可视化技术的进步、对肝脏和胰腺复杂解剖结构的更清晰描绘以及术中技术的进展,有助于提高肝脏和胰腺手术的安全性并改善术后效果。人工智能(AI)在三维可视化、虚拟模拟、增强现实等方面发挥着重要作用,有助于外科医生的培训以及未来传统、腹腔镜和机器人肝胆胰(HPB)手术的开展;人工神经网络和机器学习有潜力在术前成像和术后监测期间彻底改变个性化患者护理。在本文中,我们回顾了现有证据,并概述了在接受HPB手术患者的围手术期护理中应用人工智能的潜力。