Background Although a number of robot-assisted minimally invasive esophagectomy
(RAMIE) procedures have been performed due to three-dimensional field of view, image …

Although action recognition for procedural tasks has received notable attention, it has a
fundamental flaw in that no measure of success for actions is provided. This limits the …

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 …

Simple Summary Computer vision (CV) is a field of artificial intelligence (AI) that deals with
the automatic analysis of videos and images. Recent advances in AI and CV methods …

The prevalence of renal cell carcinoma (RCC) is increasing due to advanced imaging
techniques. Surgical resection is the standard treatment, involving complex radical and …

The recent advancements in the surging field of Deep Learning (DL) have revolutionized
every sphere of life, and the healthcare domain is no exception. The enormous success of …

Background Robotic-assisted surgery (RAS) potentially reduces workload and shortens the
surgical learning curve compared to conventional laparoscopy (CL). The present study …

Introduction Complex oncological procedures pose various surgical challenges including
dissection in distinct tissue planes and preservation of vulnerable anatomical structures …

Artificial intelligence (AI) has made considerable progress within the last decade and is the
subject of contemporary literature. This trend is driven by improved computational abilities …

In recent years, advances in modern technology have altered the practice of surgery from
open to minimally invasive surgery (MIS) aided by robots. Teleoperated surgical robotic …