Coronary heart disease is a common cause of death despite being preventable. To treat the underlying plaque deposits in the arterial walls, intravascular optical coherence tomography can be used by experts to detect and characterize the lesions. In c...
International journal of computer assisted radiology and surgery
Apr 12, 2018
PURPOSE: Endovascular intervention is limited by two-dimensional intraoperative imaging and prolonged procedure times in the presence of complex anatomies. Robotic catheter technology could offer benefits such as reduced radiation exposure to the cli...
The Journal of cardiovascular surgery
Mar 19, 2018
Flexible robotic catheters are an emerging technology which provide an elegant solution to the challenges of conventional endovascular intervention. Originally developed for interventional cardiology and electrophysiology procedures, remotely steerab...
PURPOSE: An artificial neural network (ANN) has been applied to detect myocardial perfusion defects and ischemia. The present study compares the diagnostic accuracy of a more recent ANN version (1.1) with the initial version 1.0.
The Journal of cardiovascular surgery
Feb 26, 2018
In this review, we will detail the evolution of endovascular therapy as the basis for the development of catheter-based robotics. In parallel, we will outline the evolution of robotics in the surgical space and how the convergence of technology and t...
We present a case demonstrating the use of an endovascular robotic system in the treatment of a saccular renal artery aneurysm located at the renal hilum in a young patient.
BACKGROUND: A single-institutional study comparing early and long-term outcomes of thoracic endovascular aortic repair (TEVAR) and open surgical repair (OSR) was performed to determine the appropriate treatment option for descending thoracic aortic a...
IEEE transactions on bio-medical engineering
Dec 20, 2017
OBJECTIVE: Hemorrhagic transformation (HT) is the most severe complication of reperfusion therapy in acute ischemic stroke (AIS) patients. Management of AIS patients could benefit from accurate prediction of upcoming HT. While prediction of HT occurr...
BMC medical informatics and decision making
Aug 3, 2017
BACKGROUND: Feature selection (FS) process is essential in the medical area as it reduces the effort and time needed for physicians to measure unnecessary features. Choosing useful variables is a difficult task with the presence of censoring which is...
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.