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 …

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 …

Surgical tool detection is attracting increasing attention from the medical image analysis
community. The goal generally is not to precisely locate tools in images, but rather to …

Robot-assisted surgery is an emerging technology that has undergone rapid growth with the
development of robotics and imaging systems. Innovations in vision, haptics, and accurate …

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 …

Surgical skills can be improved by continuous surgical training and feedback, thus reducing
adverse outcomes while performing an intervention. With the advent of new technologies …

In Minimally Invasive Surgery (MIS), surgeons need to acquire a specific set of skills, before
carrying out a “real” operation. Training with the Laparoscopic Surgical Box-Trainer device …

This letter presents the first case of implementing deep-learning based instrument tracking
on a magnetic anchored surgical endoscope. The compact magnetic actuated endoscope …

Directing of the task-specific attention while tracking instrument in surgery holds great
potential in robot-assisted intervention. For this purpose, we propose an end-to-end …