Introduction Post-operative delirium (POD) is a common complication in older patients, with
an incidence of 14–56%. To implement preventative procedures, it is necessary to identify …

Background Hyperspectral imaging (HSI), combined with machine learning, can help to
identify characteristic tissue signatures enabling automatic tissue recognition during surgery …

Background Laparoscopic cholecystectomy is a very frequent surgical procedure. However,
in an ageing society, less surgical staff will need to perform surgery on patients …

Surgical robot systems (SRS) represent an innovative cross‐disciplinary research field using
robotic technology to assist surgeons in operations. Current bottlenecks in SRS, such as the …

Background The learning curve in minimally invasive surgery (MIS) is lengthened compared
to open surgery. It has been reported that structured feedback and training in teams of two …

Recent advancements in technology, particularly in machine learning (ML), deep learning
(DL), and the metaverse, offer great potential for revolutionizing surgical science. The …

The development of a learning health system requires a shift from intermittent retrospective
review of outcomes to continuous data-driven understanding of surgical processes and …

Background: Telementoring technologies enable a remote mentor to guide a mentee in real-
time during surgical procedures. This addresses challenges, such as lack of expertise and …

Vocal folds motility evaluation is paramount in both the assessment of functional deficits and
in the accurate staging of neoplastic disease of the glottis. Diagnostic endoscopy, and in …

In 2013, US general surgery residency programs implemented a milestones assessment
framework in an effort to incorporate more competency-focused evaluation methods …