Latest AI and machine learning research in thoracic surgery for healthcare professionals.
BACKGROUND: The present study aimed to assess the short-term consequences of biportal robot-assisted lobectomy, validating its safety and effectiveness.
The advantages of a multi-input display system platform in robotic thoracic surgery have not been well described. We report the novel application of a multi-display system for simultaneous visualization of an additional thoracoscopic image during a robotic lobectomy, which we have named the dual scope method. An additional thoracoscope is inserted from the bottom of the thoracic cavity. This thora...
We examined the feasibility of explainable computer-aided detection of cardiomegaly in routine clinical practice using segmentation-based methods. Ove...
Robot assisted minimally invasive esophagectomy (RAMIE) has evolved over the past decade to become procedure of choice at many centers all over the wo...
BACKGROUND: The optimal minimally invasive surgical approach to mediastinal tumors is unknown. There are limited reports comparing the outcomes of res...
BACKGROUND: Oncological esophageal surgery has evolved significantly in the last decades. From open esophagectomy over (hybrid) minimally invasive sur...
 There are two patient positions described for minimally invasive esophagectomy (MIE) for esophageal cancer, viz., left lateral and prone positions. ...
BACKGROUND: Artificial Intelligence (AI) is a promising tool for cardiothoracic ratio (CTR) measurement that has been technically validated but not cl...
Simulation is increasingly being used to train surgeons and access technical competency in robotic skills. The construct validity of using simulation ...
Imaging-based measurements form the basis of surgical decision making in patients with aortic aneurysm. Unfortunately, manual measurement suffer from ...
BACKGROUND: Esophagectomy with lymphadenectomy is the principal treatment for localized esophageal cancer. Conventional minimally invasive esophagecto...
The objective of this study was to evaluate the educational impact following the implementation of a robotic thoracic surgery program on cardiothoraci...
OBJECTIVE: To develop deep learning-based cardiac chamber enlargement-detection algorithms for left atrial (DLCE-LAE) and ventricular enlargement (DLC...
Open surgery is the standard of care for perihilar cholangiocarcinoma (pCCA). With the aim of oncologic radicality, it requires a complex major hepate...
BACKGROUND: The present study aimed to assess the lower invasiveness of robot-assisted transmediastinal radical esophagectomy by prospectively compari...
Anatomical lung resection is the standard treatment for patients with early-stage lung cancer. The conventional surgical techniques are thoracotomy an...