Latest AI and machine learning research in surgery for healthcare professionals.
Lung cancer is the most common cause of cancer-related death, and early detection can reduce the mortality rate. Patients with lung nodules greater than 10Â mm usually undergo a computed tomography (CT)-guided biopsy. However, aligning the needle with the target is difficult and the needle tends to deflect from a straight path. In this work, we present a CT-compatible robotic system, which can both...
BACKGROUND: Hepatocellular carcinoma has a growing incidence worldwide, and represents a leading cause of death in patients with cirrhosis. Nowadays, minimally invasive approaches are spreading in every field of surgery and in liver surgery as well.
Bed pushing during patient transfer is one of the most physically demanding and yet common tasks in the hospital setting. Powered bed movers have been...
PURPOSE: By integrating locally operated small surgical robots in a sterilized area, a surgeon can perform safe and accurate robotically assisted lapa...
BACKGROUND: Robotic-assisted minimally invasive surgery changes the direct hand and eye coordination in traditional surgery to indirect instrument and...
STUDY OBJECTIVE: To introduce the innovative surgical procedure of treating benign uterine pathology with subtotal hysterectomy by natural orifice tra...
We designed a robot system that assisted in behavioral intervention programs of children with autism spectrum disorder (ASD). The eight-session interv...
Deep learning is quickly becoming the leading methodology for medical image analysis. Given a large medical archive, where each image is associated wi...
Surgeons routinely perform surgery with noisy, sub-threshold, or obscured visual and haptic feedback, either due to the necessary surgical approach, o...
PURPOSE: To compare the outcomes of open pyeloplasty (OP), laparoscopy-assisted extracorporeal (LEXP), and robotic-assisted laparoscopic pyeloplasty (...
OBJECTIVE: To report the first exclusively pediatric series of robot-assisted urachal remnant excisions in children.
Data related to force-deformation behaviour of soft tissue plays an important role in medical/surgical applications such as realistically modelling me...
BACKGROUND: Robotic overground gait training devices, such as the Ekso, require users to actively participate in triggering steps through weight-shift...
PURPOSE: Improved surgical outcome and patient safety in the operating theatre are constant challenges. We hypothesise that a framework that collects ...
PURPOSE: The purpose of the study was to describe the development of a robotic aided surgical system named RVRMS (robotic vitreous retinal microsurger...
This article tackles the Distribution Network Expansion Planning (DNEP) problem that has to be solved by distribution network operators to decide whic...
BACKGROUND: Despite its evident clinical benefits, single-incision laparoscopic surgery (SILS) imposes inherent limitations of collision between exter...
BACKGROUND: To analyze the correlation of surgical margin status with other findings on final pathology and risk of biochemical recurrence (BCR) in pa...
PURPOSE: Few investigations of robot-assisted intersphincteric resection (ISR) are presently available to support this procedure as a safe and efficie...