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

Artificial intelligence (AI) is rapidly emerging in healthcare, yet applications in surgery
remain relatively nascent. Here we review the integration of AI in the field of surgery …

Excellence in a wide variety of medical applications poses considerable challenges for AI,
requiring advanced reasoning, access to up-to-date medical knowledge and understanding …

Foundation models have exhibited remarkable success in various applications, such as
disease diagnosis and text report generation. To date, a foundation model for endoscopic …

Most benchmarks for studying surgical interventions focus on a specific challenge instead of
leveraging the intrinsic complementarity among different tasks. In this work, we present a …

Background Intraoperative skills assessment is time-consuming and subjective; an efficient
and objective computer vision-based approach for feedback is desired. In this work, we aim …

The current study presents a multi-task end-to-end deep learning model for real-time blood
accumulation detection and tools semantic segmentation from a laparoscopic surgery video …

In minimally invasive surgery, surgical workflow segmentation from video analysis is a well
studied topic. The conventional approach defines it as a multi-class classification problem …

Detecting surgical tools is an essential task for analyzing and evaluating surgical videos.
However, most studies focus on minimally invasive surgery (MIS) and cataract surgery …

The surgical usage of Mixed Reality (MR) has received growing attention in areas such as
surgical navigation systems, skill assessment, and robot-assisted surgeries. For such …