Background Despite the extensive published literature on the significant potential of artificial
intelligence (AI) there are no reports on its efficacy in improving patient safety in robot …

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 …

With the rapid development of machine learning, its powerful function in the machine vision
field is increasingly reflected. The combination of machine vision and robotics to achieve the …

Artificial intelligence (AI) is gradually changing the practice of surgery with technological
advancements in imaging, navigation, and robotic intervention. In this article, we review the …

Background Automatic surgical workflow recognition is a key component for developing the
context-aware computer-assisted surgery (CA-CAS) systems. However, automatic surgical …

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

Purpose With the intention of extending the perception and action of surgical staff inside the
operating room, the medical community has expressed a growing interest towards context …

As a unique physiological electrical signal in the human body, surface electromyography
(sEMG) signals always include human movement intention and muscle state. Through the …

OBJECTIVE To synthesize peer-reviewed evidence related to the use of artificial intelligence
(AI) in surgical education DESIGN We conducted and reported a scoping review according …

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 …