Latest AI and machine learning research in thoracic surgery for healthcare professionals.
 There are two patient positions described for minimally invasive esophagectomy (MIE) for esophagea...
BACKGROUND: Artificial Intelligence (AI) is a promising tool for cardiothoracic ratio (CTR) measurem...
Simulation is increasingly being used to train surgeons and access technical competency in robotic s...
Imaging-based measurements form the basis of surgical decision making in patients with aortic aneury...
BACKGROUND: Esophagectomy with lymphadenectomy is the principal treatment for localized esophageal c...
The objective of this study was to evaluate the educational impact following the implementation of a...
OBJECTIVE: To develop deep learning-based cardiac chamber enlargement-detection algorithms for left ...
Open surgery is the standard of care for perihilar cholangiocarcinoma (pCCA). With the aim of oncolo...
BACKGROUND: The present study aimed to assess the lower invasiveness of robot-assisted transmediasti...
Anatomical lung resection is the standard treatment for patients with early-stage lung cancer. The c...
BACKGROUND: Given the worldwide popularization of conventional minimally invasive esophagectomy (C-M...
BACKGROUND: We investigate the incidence and risk factors for post-operative outcomes including chyl...
OBJECTIVE: To extract pulmonary and cardiovascular metrics from chest CTs of patients with coronavir...
Thoracolaparoscopic esophagectomy (TLE) for carcinoma esophagus has better short-term outcomes compa...
BACKGROUND: On the introduction of robot-assisted thoracoscopic esophagectomy (RATE), we refined the...
The robotic system has overcome some laparoscopic shortcomings, such as stereoscopic 3D-magnified vi...
Over the years, robot-assisted esophagectomy gained popularity. The current literature focused mainl...