BACKGROUND: Improper endotracheal tube (ETT) positioning is frequently observed and potentially hazardous in the intensive care unit. The authors developed a deep learning-based automatic detection algorithm detecting the ETT tip and carina on portab...
The robotic platform can be viewed as an advanced thoracoscopic instrument and can be utilized for any pathology amenable to thoracoscopic surgery. This ultimately comes down to surgeon comfort, but many have demonstrated the robotic approach to be u...
Kyobu geka. The Japanese journal of thoracic surgery
36861285
Mullerian cyst in the posterior mediastinum is a rare disorder. We report on the case of a woman in her 40s with a cystic nodule which is located in the right posterior mediastinum next to the vertebra at the level of tracheal bifurcation. The tumor ...
Kyobu geka. The Japanese journal of thoracic surgery
37475096
Surgery for mediastinal and chest wall tumors requires various approaches, including open and thoracoscopic, depending on the size and localization of the tumor. While robotic surgery for anterior mediastinal tumors has become a standardized approach...
Kyobu geka. The Japanese journal of thoracic surgery
37475094
The subxiphoid approach in thymectomy provides better visibility around the left brachiocephalic vein than the lateral thoracic approach. Robot-assisted thoracoscopic surgery is easier to parform than video- assisted thoracoscopic surgery for surgery...
Respiration; international review of thoracic diseases
39038439
INTRODUCTION: The aim of the study was to establish an ultrasonographic radiomics machine learning model based on endobronchial ultrasound (EBUS) to assist in diagnosing benign and malignant mediastinal and hilar lymph nodes (LNs).
Ectopic parathyroid tissue in the mediastinum represents a rare and potentially serious clinical entity with challenging diagnostic and surgical management. The main surgical approach for this issue is open thoracotomy, which is a safe technique but ...
Journal of the Formosan Medical Association = Taiwan yi zhi
38702216
The purpose of this study is to establish a deep learning automatic assistance diagnosis system for benign and malignant classification of mediastinal lesions in endobronchial ultrasound (EBUS) images. EBUS images are in the form of video and contain...
AIM: To develop and validate a machine learning (ML) model based on positron emission tomography/computed tomography (PET/CT) multi-modality fusion radiomics to improve the prediction efficiency of mediastinal-hilar lymph node metastasis (LNM).