Latest AI and machine learning research in thoracic surgery for healthcare professionals.
BACKGROUND: Patients  with esophageal cancer  that invades adjacent structures (cT4b) are precluded ...
BACKGROUND: We have recently standardized upper mediastinal lymph node dissection (UMLND) using a mi...
OBJECTIVE: This international multicenter study by the Upper GI International Robotic Association ai...
Randomized trials have demonstrated that ablation of dysplastic Barrett's esophagus can reduce the r...
The tremendous and rapid technological advances that humans have achieved in the last decade have de...
PURPOSE: The robot-assisted approach for Ivor Lewis esophagectomy offers an enlarged, three-dimensio...
BACKGROUND: This is a preclinical cadaveric study to investigate the feasibility of a fully robotic ...
BACKGROUND: Whether robot-assisted minimally invasive surgery (RAMIE) is more beneficial than conven...
BACKGROUND: This study aimed to identify the results of the quality assessment and the learning curv...
BACKGROUND: When pulmonary complications occur, postlobectomy patients have a higher mortality rate,...
BACKGROUND: The superiority of robot-assisted thoracic surgery (RATS) over video-assisted thoracic s...
OBJECTIVE: To establish a machine learning (ML)-based prediction model for readmission within 30Â day...
In the first part of this series, we introduced the tools of Big Data, including Not Only Standard Q...
The concept of Big Data is changing the way that clinical research can be performed. Cardiothoracic ...
BACKGROUND: Robot-assisted minimally invasive esophagectomy (RAMIE) with intrathoracic anastomosis i...
OBJECTIVES: Robot-assisted thoracoscopic surgery (RATS) for primary lung cancer has been spreading r...
Minimally invasive esophagectomy is increasing performed for cancers of the esophagus and gastroesop...