Hundreds of millions of operations are performed worldwide each year, and the rising
uptake in minimally invasive surgery has enabled fiber optic cameras and robots to become …

Recent advancements in deep learning methods bring computer-assistance a step closer to
fulfilling promises of safer surgical procedures. However, the generalizability of such …

Purpose Accurate documentation is crucial in surgical patient care. Synoptic reports (SR)
are structured checklist-based reports that offer a standardised alternative to traditional …

Algorithmic surgical workflow recognition is an ongoing research field and can be divided
into laparoscopic (Internal) and operating room (External) analysis. So far, many different …

Workflow insights can improve efficiency and safety in the Cardiac Catheterization
Laboratory (Cath Lab). As manual analysis is labor-intensive, we aim for automation through …

Workflow insights can enable safety-and efficiency improvements in the Cardiac
Catheterisation Laboratory (Cath Lab). Human pose tracklets from video footage can …

Purpose Surgical data science is an emerging field focused on quantitative analysis of pre-,
intra-, and postoperative patient data (Maier-Hein et al. in Med Image Anal 76: 102306 …

Operation notes are a crucial component of patient care. However, writing them manually is
prone to human error, particularly in high pressured clinical environments. Automatic …

The purpose of this review is to provide a comprehensive review of publications related to
artificial intelligence (AI) applications in healthcare for the year 2022. Both the quantity and …

As most surgeons are not familiar with computer science, this review article will explain
basic concepts of AI and deep learning, how they are applied to surgery and what potential …