Modern endoscopy relies on digital technology, from high-resolution imaging sensors and
displays to electronics connecting configurable illumination and actuation systems for …

The intraoperative activity of a surgeon has substantial impact on postoperative outcomes.
However, for most surgical procedures, the details of intraoperative surgical actions, which …

In the context of medical imaging and machine learning, one of the most pressing
challenges is the effective adaptation of pre-trained models to specialized medical contexts …

Automatic surgical workflow analysis, which aims to recognize the ongoing surgical events
in videos, is fundamental for develo** context-aware computer-assisted systems. This …

In this paper, we present a large-scale evaluation probing GPT-4V's capabilities and
limitations for biomedical image analysis. GPT-4V represents a breakthrough in artificial …

The field of surgical computer vision has undergone considerable breakthroughs in recent
years with the rising popularity of deep neural network-based methods. However, standard …

The number of international benchmarking competitions is steadily increasing in various
fields of machine learning (ML) research and practice. So far, however, little is known about …

Automatic surgical video captioning is critical to understanding surgical procedures, and can
provide the intra-operative guidance and the post-operative report generation. As the …

Formalizing surgical activities as triplets of the used instruments, actions performed, and
target anatomies is becoming a gold standard approach for surgical activity modeling. The …

This paper is a comprehensive survey of datasets for surgical tool detection and related
surgical data science and machine learning techniques and algorithms. The survey offers a …