Thoracic Surgery

[Robotic-assisted Thoracic Surgery: Currently Available Standard Systems and Future Developments].

The trend towards performing robotic-assisted operations in thoracic surgery has been increasing in ...

Number of lymph nodes dissected and upstaging rate of the N factor in robot-assisted thoracic surgery versus video-assisted thoracic surgery for patients with cN0 primary lung cancer.

PURPOSE: The accuracy of lymph node (LN) dissection in robotic surgery for lung cancer remains contr...

Robot-assisted transthoracic hybrid esophagectomy versus open and laparoscopic hybrid esophagectomy: propensity score matched analysis of short-term outcome.

PURPOSE: Minimally invasive en-bloc esophagectomy is associated with a reduction of postoperative mo...

Indocyanine green fluorescence in robot-assisted minimally invasive esophagectomy with intrathoracic anastomosis: a prospective study.

Indocyanine green fluorescence angiography (ICG-FA) allows for real-time intraoperative assessment o...

Why pay more for robot in esophageal cancer surgery?

Esophagectomy is the gold standard for the treatment of resectable esophageal cancer. Traditionally,...

Meta-analysis of robot-assisted versus video-assisted McKeown esophagectomy for esophageal cancer.

We aim to review the available literature on patients with esophageal cancer treated with robot-assi...

Comparison of Two-Port and Three-Port Approaches in Robotic Lobectomy for Non-Small Cell Lung Cancer.

BACKGROUND: Robot-assisted lobectomy has been used to treat non-small cell lung cancer and usually u...

ASO Author Reflections: Can Artificial Intelligence Evaluate the Surgical Learning Curve of Robot-Assisted Minimally Invasive Esophagectomy?

Solid Attenuation Components Attention Deep Learning Model to Predict Micropapillary and Solid Patterns in Lung Adenocarcinomas on Computed Tomography.

BACKGROUND: High-grade adenocarcinoma subtypes (micropapillary and solid) treated with sublobar rese...

Automated Surgical-Phase Recognition for Robot-Assisted Minimally Invasive Esophagectomy Using Artificial Intelligence.

BACKGROUND: Although a number of robot-assisted minimally invasive esophagectomy (RAMIE) procedures ...

Impact of Artificial Intelligence Assistance on Chest CT Interpretation Times: A Prospective Randomized Study.

Deep learning-based convolutional neural networks have enabled major advances in development of art...

Hybrid robotic lobectomy with thoracic wall resection for superior sulcus tumor.

A major challenge in treating superior sulcus tumors is achieving complete surgical resection becaus...

Deep Learning to Predict Mortality After Cardiothoracic Surgery Using Preoperative Chest Radiographs.

BACKGROUND: The Society of Thoracic Surgeons Predicted Risk of Mortality (STS-PROM) estimates mortal...

Propensity-Matched Analysis of the Short-Term Outcome of Robot-Assisted Minimally Invasive Esophagectomy Versus Conventional Thoracoscopic Esophagectomy in Thoracic Esophageal Cancer.

BACKGROUND: In this matched-cohort study, we investigated the short-term outcome of robot-assisted m...

Robot-assisted minimally invasive esophagectomy (RAMIE) with side-to-side semi-mechanical anastomosis: analysis of a learning curve.

Minimally invasive esophagectomy (MIE) reduces mortality and morbidity related to esophageal surgery...

Robot-assisted thoracic surgery is effective for right upper lobectomy in cases with a rare variation pattern of the pulmonary veins.

Minimally Invasive Esophagectomy Is Associated with Superior Survival Compared to Open Surgery.

INTRODUCTION: Minimally invasive esophagectomy (MIE) has not been associated with a long-term surviv...

A clinical evaluation study of cardiothoracic ratio measurement using artificial intelligence.

BACKGROUND: Artificial intelligence, particularly the deep learning (DL) model, can provide reliable...

Is robotic lobectomy cheaper? A micro-cost analysis.

Higher capital costs and operating room costs associated with Lobectomy via Robot Assisted Thoracic ...

Open, Video- and Robot-Assisted Thoracoscopic Lobectomy for Stage II-IIIA Non-Small Cell Lung Cancer.

BACKGROUND: This study compares the short- and long-term outcomes of open vs robotic vs video-assist...

Development and validation of a machine learning method to predict intraoperative red blood cell transfusions in cardiothoracic surgery.

Accurately predicting red blood cell (RBC) transfusion requirements in cardiothoracic (CT) surgery c...