AI Medical Compendium Journal:
The Annals of thoracic surgery

Showing 11 to 20 of 52 articles

Robot-assisted Thoracoscopic Lobectomy of T4 Lung Cancer.

The Annals of thoracic surgery
A 79-year-old male former smoker presented with a T4 (>7 cm) adenocarcinoma of the right upper lobe. The patient was staged at clinical T4N0M0 and underwent robot-assisted right upper lobectomy and mediastinal lymph node dissection. The patient was d...

Surgical Tips to Improve Completeness of Transsubxiphoid Robotic Extended Thymectomy.

The Annals of thoracic surgery
Removal of adipose tissues located behind the left innominate vein and at the aortocaval groove is technically complex for minimally invasive extended thymectomy. The study describes the technical tips of the subxiphoid robotic procedure to remove th...

Machine Learning to Predict Outcomes and Cost by Phase of Care After Coronary Artery Bypass Grafting.

The Annals of thoracic surgery
BACKGROUND: Machine learning may enhance prediction of outcomes after coronary artery bypass grafting (CABG). We sought to develop and validate a dynamic machine learning model to predict CABG outcomes at clinically relevant pre- and postoperative ti...

Robotic Approach Has Improved Outcomes for Minimally Invasive Resection of Mediastinal Tumors.

The Annals of thoracic surgery
BACKGROUND: The optimal minimally invasive surgical approach to mediastinal tumors is unknown. There are limited reports comparing the outcomes of resection with robotic-assisted thoracoscopic surgery (RATS) and video-assisted thoracoscopic surgery (...

Subcarinal Lymph Node Dissection in Solo Robot-assisted Thoracic Surgery.

The Annals of thoracic surgery
The surgical instruments used in robot-assisted thoracic surgery are flexible to enable the surgeon to approach the surgical field from any direction. However even in robot-assisted thoracic surgery subcarinal lymph node dissection requires a precise...

Cardiac Operative Risk in Latin America: A Comparison of Machine Learning Models vs EuroSCORE-II.

The Annals of thoracic surgery
BACKGROUND: Machine learning is a useful tool for predicting medical outcomes. This study aimed to develop a machine learning-based preoperative score to predict cardiac surgical operative mortality.

Machine Learning Approaches to Analyzing Adverse Events Following Durable LVAD Implantation.

The Annals of thoracic surgery
BACKGROUND: This study employed machine learning approaches to analyze sequences of adverse events (AEs) after left ventricular assist device (LVAD) implantation.

Thrombolysis of Pulmonary Emboli via Endobronchial Ultrasound-Guided Transbronchial Needle Injection.

The Annals of thoracic surgery
BACKGROUND: Endobronchial ultrasound-guided transbronchial needle injection (EBUS-TBNI) is a novel technique for treating peribronchial targets. The aim of this study was to evaluate preliminary feasibility of thrombolysis of pulmonary emboli via EBU...