Recent years have seen tremendous progress in artificial intelligence (AI), such as with the
automatic and real-time recognition of objects and activities in videos in the field of computer …

Activities of a clinical staff in healthcare environments must regularly be adapted to new
treatment methods, medications, and technologies. This constant evolution requires the …

Human pose estimation (HPE) is a key building block for developing AI-based context-
aware systems inside the operating room (OR). The 24/7 use of images coming from …

Many approaches have been proposed for human pose estimation in single and multi-view
RGB images. However, some environments, such as the operating room, are still very …

Surgery digitalization is the process of creating a virtual replica of real-world surgery also
referred to as a surgical digital twin (SDT). It has significant applications in various fields …

The fine-grained localization of clinicians in the operating room (OR) is a key component to
design the new generation of OR support systems. Computer vision models for person pixel …

Despite the advancements to improve patient safety, a significant number of errors still occur
in Operating Suites (OS). To improve medical decision-making and the resulting quality of …

In this article, we survey the recent developments of sensing methods in three-dimensional
robot vision, centering on the current three-dimensional sensors and core techniques …

Surgical data science is devoted to enhancing the quality, safety, and efficacy of
interventional healthcare. While the use of powerful machine learning algorithms is …

Percutaneous image-guided oncologic interventions have rapidly evolved over the last two
decades as an independent strategy or used within a first-, second-, or even third-line …