The emerging capability to 3D print a diverse palette of functional inks will enable the mass
democratization of patient-specific wearable devices and smart biomedical implants for …

Artificial intelligence (AI) is gradually changing the practice of surgery with technological
advancements in imaging, navigation, and robotic intervention. In this article, we review the …

The fields of computer vision (CV) and artificial intelligence (AI) have undergone rapid
advancements in the past decade, many of which have been applied to the analysis of …

Surgical tool presence detection and surgical phase recognition are two fundamental yet
challenging tasks in surgical video analysis as well as very essential components in various …

Purpose A profound education of novice surgeons is crucial to ensure that surgical
interventions are effective and safe. One important aspect is the teaching of technical skills …

In mainstream computer vision and machine learning, public datasets such as ImageNet,
COCO and KITTI have helped drive enormous improvements by enabling researchers to …

Semantic segmentation of surgical instruments plays a crucial role in robot-assisted surgery.
However, accurate segmentation of cataract surgical instruments is still a challenge due to …

Data-driven computational approaches have evolved to enable extraction of information
from medical images with reliability, accuracy, and speed, which is already transforming …

Automatic instrument segmentation in video is an essentially fundamental yet challenging
problem for robot-assisted minimally invasive surgery. In this paper, we propose a novel …

Minimally invasive surgical instrument visual detection and tracking is one of the core
algorithms of minimally invasive surgical robots. With the development of machine vision …