Artificial intelligence (AI) has made significant progress in recent years, and many medical
fields are attempting to introduce AI technology into clinical practice. Currently, much …

In this paper, we evaluate the effects of mindfulness meditation training in
electrophysiological signals, recorded during a concentration task. Longitudinal experiments …

Background Identifying laparoscopic surgical videos using artificial intelligence (AI)
facilitates the automation of several currently time-consuming manual processes, including …

In microsurgical procedures, surgeons use micro-instruments under high magnifications to
handle delicate tissues. These procedures require highly skilled attentional and motor …

Recent years have witnessed artificial intelligence (AI) make meteoric leaps in both
medicine and surgery, bridging the gap between the capabilities of humans and machines …

Background Gastric surgery involves numerous surgical phases; however, its steps can be
clearly defined. Deep learning-based surgical phase recognition can promote stylization of …

One of the key challenges for automatic assistance is the support of actors in the operating
room depending on the status of the procedure. Therefore, context information collected in …

Contemporary swarm indicators are often used in isolation, focussed on extracting
information at the individual or collective levels. Consequently, these are seldom integrated …

Robust and automated surgical workflow detection in real time is a core component of the
future intelligent operating room. Based on this technology, it can help medical staff to …

Context-aware systems to support actors in the operating room depending on the status of
the intervention require knowledge about the current situation in the intra-operative area. In …