Latest AI and machine learning research in thoracic surgery for healthcare professionals.
INTRODUCTION: To facilitate the initial clinical decision regarding whether to use esophagectomy alo...
OBJECTIVE: Minimally invasive esophagectomy (MIE) has demonstrated superior outcomes compared to ope...
Worldwide, the standard treatment for locally advanced esophageal cancer with curative intent is per...
BACKGROUND: The large amount of clinical signals in intensive care units can easily overwhelm health...
BACKGROUND: Esophageal schwannomas are extremely rare, with few cases reported in the literature. Tr...
There is growing interest in applying machine learning methods to Electronic Medical Records (EMR). ...
Several different surgical approaches to anterior Pancoast tumors have been proposed. The osteomuscu...
Non-islet cell tumor hypoglycemia (NICTH) is a rare paraneoplastic condition caused most commonly by...
BACKGROUND: Whether compensatory lung growth occurs in adult humans is controversial. The aim of thi...
BACKGROUND: Esophagogastric anastomosis performed after esophagectomy is technically complex and oft...
We standardised a Ventilation Mechanical Test (VMT) after video-assisted thoracoscopic surgery (VATS...
BACKGROUND: Minimally invasive techniques are becoming increasingly popular in thoracic surgery. Alt...
BACKGROUND: The purpose of this study was to analyze all relevant comparative studies comparing robo...
BACKGROUND: A bulla is a marked enlarged space within the parenchyma of the lung. Bullae may cause d...
BACKGROUND: The aim of this study is to evaluate the feasibility and safety of robot-assisted thorac...
Purpose To evaluate the efficacy of deep convolutional neural networks (DCNNs) for detecting tubercu...
OBJECTIVE: Patients with nonlocalized bronchiectasis are encountered commonly; however, there is lit...
BACKGROUND: Lung segmentectomy may be considered an oncologic equivalent treatment to lobectomy for ...