Recent developments in data science in general and machine learning in particular have
transformed the way experts envision the future of surgery. Surgical Data Science (SDS) is a …

Purpose The aim of this systematic review is to assess the clinical implications of employing
various Extended Reality (XR) tools for image guidance in urological surgery. Methods In …

Three decades after the first set of work on Medical Augmented Reality (MAR) was
presented to the international community, and ten years after the deployment of the first MAR …

In this work, we developed and validated a computer method capable of robustly detecting
drill breakthrough events and show the potential of deep learning-based acoustic sensing …

Background: The shift towards minimally invasive surgery is associated with a significant
reduction of tactile information available to the surgeon, with compensation strategies …

In this work, we propose a novel data augmentation method for clinical audio datasets
based on a conditional Wasserstein Generative Adversarial Network with Gradient Penalty …

Aim: Some surgeons have been using some form of handheld robotics (HR) since liver
resections began being done minimally invasively (MI); however, with the development of …

Accurate tissue differentiation during orthopedic and neurological surgeries is critical, given
that such surgeries involve operations on or in the vicinity of vital neurovascular structures …

Pedicle drilling is a complex and critical spinal surgery task. Detecting breach or penetration
of the surgical tool to the cortical wall during pilot-hole drilling is essential to avoid damage …

Purpose While demand for telemedicine is increasing, patients are currently restricted to tele-
consultation for the most part. Fundamental diagnostics like the percussion still require the in …