In addition to generating data and annotations, devising sensible data splitting strategies
and evaluation metrics is essential for the creation of a benchmark dataset. This practice …

Surgical action triplets describe instrument-tissue interactions as< instrument, verb, target>
combinations, thereby supporting a detailed analysis of surgical scene activities and …

Background Laparoscopic surgery videos offer valuable insights into the intraoperative skills
of surgeons. Traditionally, skill assessment has focused on trainees, but analyzing the …

Surgical scene understanding is a key prerequisite for context-aware decision support in the
operating room. While deep learning-based approaches have already reached or even …

Tool tracking in surgical videos is vital in computer-assisted intervention for tasks like
surgeon skill assessment, safety zone estimation, and human-machine collaboration during …

Purpose Surgical action triplet recognition is a clinically significant yet challenging task. It
provides surgeons with detailed information about surgical scenarios, thereby facilitating …

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

Purpose Machine learning approaches can only be reliably evaluated if training, validation,
and test data splits are representative and not affected by the absence of classes. Surgical …

Artificial intelligence (AI) will power many of the tools in the armamentarium of digital
surgeons. AI methods and surgical proof-of-concept flourish, but we have yet to witness …

Surgical procedures are inherently complex and dynamic, with intricate dependencies and
various execution paths. Accurate identification of the intentions behind critical actions …