Accurate surgery duration estimation is necessary for optimal OR planning, which plays an
important role in patient comfort and safety as well as resource optimization. It is, however …

The field of surgical computer vision has undergone considerable breakthroughs in recent
years with the rising popularity of deep neural network-based methods. However, standard …

Background Artificial intelligence (AI) and computer vision (CV) have revolutionized image
analysis. In surgery, CV applications have focused on surgical phase identification in …

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 …

Effectiveness of computer vision techniques has been demonstrated through a number of
applications, both within and outside healthcare. The operating room environment …

Objective: In the last two decades, there has been a growing interest in exploring surgical
procedures with statistical models to analyze operations at different semantic levels. This …

Background Because of the complexity of the intra-abdominal anatomy in the posterior
approach, a longer learning curve has been observed in laparoscopic transabdominal …

Automatic recognition of surgical activities in the operating room (OR) is a key technology for
creating next generation intelligent surgical devices and workflow monitoring/support …

With the increasing availability of data for Prognostics and Health Management (PHM),
Deep Learning (DL) techniques are now the subject of considerable attention for this …

Robot-assisted surgery (RAS), a type of minimally invasive surgery, is used in a variety of
clinical surgeries because it has a faster recovery rate and causes less pain. Automatic …