Latest AI and machine learning research in thoracic surgery for healthcare professionals.
RATIONALE AND OBJECTIVES: Surgery in combination with chemo/radiotherapy is the standard treatment f...
The objective is to preliminary evaluated postoperative leukocyte counts as a surrogate for the surg...
PURPOSE: Due to improved survival of esophageal cancer patients, long-term quality of life (QoL) is ...
BACKGROUND: Recently, robot-assisted minimally invasive esophagectomy (RAMIE) has gained popularity ...
OBJECTIVE: To evaluate whether a machine-learning algorithm (ie, the "NightSignal" algorithm) can be...
The successful integration of neural networks in a clinical setting is still uncommon despite major ...
To compare the learning curve of mediastinal mass resection between robot-assisted surgery and thora...
INTRODUCTION: Minimally invasive approaches to lung resection have become widely acceptable and more...
Accurate identification and localization of multiple abnormalities are crucial steps in the interpre...
BACKGROUND: Thoracic esophageal cancer resection through the neck approach has recently been reporte...
Online health resources are important for patients seeking perioperative information on robotic card...
Differential diagnosis in radiology is a critical aspect of clinical decision-making. Radiologists...
BACKGROUND: Minimally invasive lobectomy is the standard treatment for early stage non-small cell lu...
BACKGROUND AND AIMS: Serratus posterior superior intercostal plane block (SPSIPB) is a novel techniq...
BACKGROUND: Minimally invasive sub-lobectomy is sufficient in treating small early-stage non-small c...
BACKGROUND: To evaluate the short-term efficacy, lung function, and oxidative stress levels between ...
OBJECTIVE: Cardiac sympathetic denervation (CSD) is a surgical antiadrenergic procedure that can red...
OBJECTIVES: Since anatomical segmentectomy requires meticulous dissection of the segmental pulmonary...
BACKGROUND: Both video-assisted thoracoscopic surgery (VATS) thymectomy and robot-assisted thoracosc...
BACKGROUND: With Surgomics, we aim for personalized prediction of the patient's surgical outcome usi...