Recent developments in data science in general and machine learning in particular have
transformed the way experts envision the future of surgery. Surgical Data Science (SDS) is a …

Robot-assisted and computer-integrated surgery provides innovative, minimally invasive
solutions to heal complex injuries and diseases. The dominant portion of these surgical …

Modern endoscopy relies on digital technology, from high-resolution imaging sensors and
displays to electronics connecting configurable illumination and actuation systems for …

Interventional robotic systems have been deployed with all existing imaging modalities in an
expansive portfolio of therapies and surgeries. Over the years, literature reviews have …

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

Background The growing interest in analysis of surgical video through machine learning has
led to increased research efforts; however, common methods of annotating video data are …

Formalizing surgical activities as triplets of the used instruments, actions performed, and
target anatomies is becoming a gold standard approach for surgical activity modeling. The …

Tactile Internet with Human-in-the-Loop describes the change from the current Internet,
which focuses on the democratization of information independent of location or time, to the …

Abstract Background Virtual Reality (VR) simulation has recently been developed and has
improved surgical training. Most VR simulators focus on learning technical skills and few on …

Knowledge representation in autonomous robots with social roles has steadily gained
importance through their supportive task assistance in domestic, hospital, and industrial …