期刊论文详细信息
Journal of Thoracic Disease
Artificial intelligence assisted display in thoracic surgery: development and possibilities
article
Zhuxing Chen1  Yudong Zhang2  Zeping Yan1  Junguo Dong1  Weipeng Cai1  Yongfu Ma4  Jipeng Jiang4  Keyao Dai5  Hengrui Liang1  Jianxing He1 
[1] Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, National Center for Respiratory Medicine, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health;Department of Thoracic Surgery, the First Affiliated Hospital of Sun Yat-sen University;Guangdong Association of Thoracic Diseases;Department of Thoracic Surgery, the First Medical Centre, Chinese PLA General Hospital;Department of Cardiothoracic Surgery, The Affiliated Hospital of Guangdong Medical University
关键词: Artificial intelligence (AI);    thoracic surgery;    surgical video;    computed tomography (CT);   
DOI  :  10.21037/jtd-21-1240
学科分类:呼吸医学
来源: Pioneer Bioscience Publishing Company
PDF
【 摘 要 】

In this golden age of rapid development of artificial intelligence (AI), researchers and surgeons realized that AI could contribute to healthcare in all aspects, especially in surgery. The popularity of low-dose computed tomography (LDCT) and the improvement of the video-assisted thoracoscopic surgery (VATS) not only bring opportunities for thoracic surgery but also bring challenges on the way forward. Preoperatively localizing lung nodules precisely, intraoperatively identifying anatomical structures accurately, and avoiding complications requires a visual display of individuals’ specific anatomy for surgical simulation and assistance. With the advance of AI-assisted display technologies, including 3D reconstruction/3D printing, virtual reality (VR), augmented reality (AR), and mixed reality (MR), computer tomography (CT) imaging in thoracic surgery has been fully utilized for transforming 2D images to 3D model, which facilitates surgical teaching, planning, and simulation. AI-assisted display based on surgical videos is a new surgical application, which is still in its infancy. Notably, it has potential applications in thoracic surgery education, surgical quality evaluation, intraoperative assistance, and postoperative analysis. In this review, we illustrated the current AI-assisted display applications based on CT in thoracic surgery; focused on the emerging AI applications in thoracic surgery based on surgical videos by reviewing its relevant researches in other surgical fields and anticipate its potential development in thoracic surgery.

【 授权许可】

Unknown   

【 预 览 】
附件列表
Files Size Format View
RO202307020004260ZK.pdf 1678KB PDF download
  文献评价指标  
  下载次数:2次 浏览次数:0次