Objective: Surgical activity recognition is a fundamental step in computer-assisted
interventions. This paper reviews the state-of-the-art in methods for automatic recognition of …

The advent of telemedicine with its remote surgical procedures has effectively transformed
the working of healthcare professionals. The evolution of telemedicine facilitates the remote …

Surgical tool segmentation and action recognition are fundamental building blocks in many
computer-assisted intervention applications, ranging from surgical skills assessment to …

Comprehensive scene understanding is a critical enabler of robot autonomy. Semantic
segmentation is one of the key scene understanding tasks, which is pivotal for several …

Automatic surgical gesture recognition is fundamentally important to enable intelligent
cognitive assistance in robotic surgery. With recent advancement in robot-assisted minimally …

Surgical activity recognition and prediction can help provide important context in many
Robot-Assisted Surgery (RAS) applications, for example, surgical progress monitoring and …

This systematic review explores machine learning (ML) applications in surgical motion
analysis using non-optical motion tracking systems (NOMTS), alone or with optical methods …

Automatic surgical gesture recognition has the potential to revolutionize the field of surgery
by enhancing patient care, surgical training, and our understanding of surgical skills. By …

In teleoperated robots, such as surgical robots, there is a desire to infer the intent of the
operator and provide assistance as needed. This lofty goal is especially challenging when it …

Analyzing surgical workflow is crucial for surgical assistance robots to understand surgeries.
With the understanding of the complete surgical workflow, the robots are able to assist the …