Latest AI and machine learning research in thoracic surgery for healthcare professionals.
BACKGROUND: Artificial Intelligence (AI) is a promising tool for cardiothoracic ratio (CTR) measurement that has been technically validated but not clinically evaluated on a large dataset. We observed and validated AI and manual methods for CTR measurement using a large dataset and investigated the clinical utility of the AI method.
Simulation is increasingly being used to train surgeons and access technical competency in robotic skills. The construct validity of using simulation performance for high-stakes examinations such as credentialing has not been studied appropriately. There are data on how simulation exercises can differentiate between novice and expert surgeons, but there are limited data to support their use for di...
Imaging-based measurements form the basis of surgical decision making in patients with aortic aneurysm. Unfortunately, manual measurement suffer from ...
BACKGROUND: Esophagectomy with lymphadenectomy is the principal treatment for localized esophageal cancer. Conventional minimally invasive esophagecto...
The objective of this study was to evaluate the educational impact following the implementation of a robotic thoracic surgery program on cardiothoraci...
OBJECTIVE: To develop deep learning-based cardiac chamber enlargement-detection algorithms for left atrial (DLCE-LAE) and ventricular enlargement (DLC...
Open surgery is the standard of care for perihilar cholangiocarcinoma (pCCA). With the aim of oncologic radicality, it requires a complex major hepate...
BACKGROUND: The present study aimed to assess the lower invasiveness of robot-assisted transmediastinal radical esophagectomy by prospectively compari...
Anatomical lung resection is the standard treatment for patients with early-stage lung cancer. The conventional surgical techniques are thoracotomy an...
BACKGROUND: Given the worldwide popularization of conventional minimally invasive esophagectomy (C-MIE), robot-assisted MIE (RAMIE) can be expected to...
BACKGROUND: We investigate the incidence and risk factors for post-operative outcomes including chyle leak following minimally invasive esophagectomy ...
OBJECTIVE: To extract pulmonary and cardiovascular metrics from chest CTs of patients with coronavirus disease 2019 (COVID-19) using a fully automated...
Thoracolaparoscopic esophagectomy (TLE) for carcinoma esophagus has better short-term outcomes compared to open esophagectomy. The precise role of rob...
BACKGROUND: On the introduction of robot-assisted thoracoscopic esophagectomy (RATE), we refined the robotic system application to enhance our surgica...
The robotic system has overcome some laparoscopic shortcomings, such as stereoscopic 3D-magnified vision, a stable camera and flexible and tremor filt...
Over the years, robot-assisted esophagectomy gained popularity. The current literature focused mainly on robotic assistance in the thoracic phase, whe...