Background: Multiple types of surgical cameras are used in modern surgical practice and
provide a rich visual signal that is used by surgeons to visualize the clinical site and make …

Data-driven computational approaches have evolved to enable extraction of information
from medical images with reliability, accuracy, and speed, which is already transforming …

Percutaneous image-guided oncologic interventions have rapidly evolved over the last two
decades as an independent strategy or used within a first-, second-, or even third-line …

Back in the summer of 2019, we were considering the maintenance of Owl's documentation.
We were glad that documentation was serving us well and growing day by day. Then it …

Due to the high rate of infection and the lack of a specific vaccine or medication for the new
disease known as SARS-CoV2, the World Health Organization (WHO) has recommended …

Surgical robotics holds much promise for improving patient safety and clinician experience
in the Operating Room (OR). However, it also comes with new challenges, requiring strong …

Data-driven approaches to assist operating room (OR) workflow analysis depend on large
curated datasets that are time consuming and expensive to collect. On the other hand, we …

Abstract Purpose Recent advances in Surgical Data Science (SDS) have contributed to an
increase in video recordings from hospital environments. While methods such as surgical …

Purpose The current study aimed to systematically review the literature addressing the use
of deep learning (DL) methods in intraoperative surgery applications, focusing on the data …

Endoscopic video recordings are widely used in minimally invasive robot-assisted surgery,
but when the endoscope is outside the patient's body, it can capture irrelevant segments that …