Novel multimodal sensing and machine learning strategies to classify cognitive workload in laparoscopic surgery.

Background: Surgeons can experience elevated cognitive workload (CWL) during surgery due to various factors including operative technicalities and the environmental demands of the operating theatre. This can result in poorer outcomes and have a detrimental effect on surgeon well-being. The objective measurement of CWL provides a potential solution to facilitate classification of workload levels, however results are variable when physiological measures are used in isolation.

A snapshot audit of global flexible endoscopy practice among European Association of Endoscopic Surgeons (EAES) and Society of American Gastrointestinal and Endoscopic Surgeons (SAGES) surgeons from the EAES Flexible Endoscopy Subcommittee survey.

Introduction: Endoscopy is an essential skill for all surgeons. However, endoscopic competency, training, and practice may vary widely among them. The EAES Flexible Endoscopy Subcommittee is working towards a standardized set of fundamental endoscopic knowledge and skills.

Eye-controlled endoscopy - a benchtop trial of a novel robotic steering platform - iGAZE2.

The endoscopic control system has remained similar in design for many decades The remit of advanced therapeutic endoscopy continues to expand requiring precision control and high cognitive workloads. Robotic systems are emerging, but all still require bimanual control and expensive and large new systems. Eye tracking is an exciting area that can be used as an endoscope control system.